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About us:

Tellius enables organizations to get faster insights from their data using AI-powered automation. Any user can ask any question across billions of records via a Google-like interface, understand “why” metrics change via automated insights that surface hidden key drivers and trends, and get predictive recommendations — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc and exploratory data analysis, root-cause/trend insights and anomaly detection, and business-friendly advanced analytics.

About the role:

Note: We need expertise in one of the tools: Tableau, Qlik, Power BI, Thoughtspot, Sigma Computing, SiSense, Looker, Alteryx, Dataiku, DataRobot, Trifacta, Alation, Incorta, Zoomdata, OBIEE, Birst, GoodData, Cognos, Business Objects

Come and be a core part of a rapidly growing startup in the Analytics / Business Intelligence domain.

We’re looking for a Senior Product Manager to help build the Tellius Analytics Platform as we scale it to the next phase. This is an individual contributor, hands-on role that requires strong technical acumen, deep analytics/business intelligence knowledge, and sharp product management skills along with a can-do attitude to build the best possible experience for our customers. Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement.

Your Impact

• Manage products from inception to launch based on industry experience, market research, competitive analysis and feedback from customers and prospects.
• Work with engineering, marketing, and sales to define product release requirements, help understand the competitive landscape, product positioning, target customer use cases and markets, and define the go-to-market strategy.
• Develop product strategy and prioritize features.
• Gather product requirements from customers and the internal field teams.
• Write detailed and agile product requirements and ensure clear communication of those requirements to all stakeholders including management, engineering, design, and documentation teams.
• Assist engineering teams in determining the best technical implementation methods.
• Work very closely with development leads to plan, prioritize and track features and releases.
• Collect customer feedback for product improvements.
• Present product roadmap, released features and demos to customers, analysts, and internally to other groups.
• Internal and external evangelism of the product through blogs, social media platforms, and industry conferences.

What you need

• 5 years of in-depth experience within the Analytics / Business intelligence (BI) domain with a strong understanding of the industry, market and competitive landscape.
• 3 years of experience in Product Management and/or, Sales Engineering roles with a complex B2B SaaS product.
• Deep understanding of Tableau, Qlik, Power BI, SiSense, Looker, Zoomdata, Thoughtspot, OBIEE, Birst, GoodData, Cognos, Business Objects, DataRobot, H2O.ai, Dataiku, Trifacta, Alteryx or similar tools.
• Experience across the product management lifecycle for enterprise SaaS products.
• Strong UX and design thinking skills.
• Data-driven approach to decision making.
• Working knowledge of agile development methodologies.
• Comfortable presenting in one-on-one customer settings as well in front of 100+ people.
• Very strong written and oral communication skills and polished presentation skills.
• Flexibility and willingness to step outside of traditional roles as needed in a fast-paced startup environment.
• Team player with a can-do attitude.
• Bachelor’s degree in Computer Science, Mathematics, Statistics and/or related field.

Wouldn’t hurt to bring along

• Experience with AI, predictive analytics and machine learning landscape is a huge plus.
• Working/Hands-on knowledge of SQL, Python, HTML, JavaScript, R, Spark, etc.
• Master’s in Computer Science and/or MBA degree.

Tellius offers very competitive compensation packages commensurate with your experience. We offer full Health Benefits, Vision, Dental, Vacation, equity, continual career & compensation growth, and many other perks.

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

Key Responsibilities:

1. Collaborate with business stakeholders and data analysts to understand reporting requirements and translate them into effective Power BI solutions.
2. Design and develop interactive and visually compelling dashboards, reports, and visualizations using Microsoft Power BI.
3. Ensure data accuracy and consistency in the reports by working closely with data engineers and data architects.
4. Optimize and streamline existing Power BI reports and dashboards for better performance and user experience.
5. Develop and maintain data models and data connections to various data sources, ensuring seamless data integration.
6. Implement security measures and data access controls to protect sensitive information in Power BI reports.
7. Troubleshoot and resolve issues related to Power BI reports, data refresh, and connectivity problems.
8. Stay updated with the latest Power BI features and capabilities, and evaluate their potential use in improving existing solutions.
9. Conduct training sessions and workshops for end-users to promote self-service BI capabilities and enable them to create their own reports.
10. Collaborate with the wider data and analytics team to identify opportunities for using Power BI to enhance business processes and decision-making.

Requirements:

1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. Proven experience as a Power BI Developer or similar role, with a strong portfolio showcasing previous Power BI projects.
3. Proficient in Microsoft Power BI, DAX (Data Analysis Expressions), and M (Power Query) to manipulate and analyze data effectively.
4. Solid understanding of data visualization best practices and design principles to create engaging and intuitive dashboards.
5. Strong SQL skills and experience with data modeling and database design concepts.
6. Knowledge of data warehousing concepts and ETL (Extract, Transform, Load) processes.
7. Ability to work with various data sources, including relational databases, APIs, and cloud-based platforms.
8. Excellent problem-solving skills and a proactive approach to identifying and addressing issues in Power BI reports.
9. Familiarity with data security and governance practices in the context of Power BI development.
10. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and business stakeholders.
11. Experience with other BI tools (e.g., Tableau, QlikView) is a plus.

The role of a Power BI Developer is critical in enabling data-driven decision-making and empowering business users to gain valuable insights from data. The successful candidate will have a passion for data visualization and analytics, along with the ability to adapt to new technologies and drive continuous improvement in BI solutions. If you are enthusiastic about leveraging the power of data through Power BI, we encourage you to apply and join our dynamic team.

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Position: ETL Developer

Location: Mumbai

Exp.Level: 4+ Yrs

Required Skills:

* Strong scripting knowledge such as: Python and Shell

* Strong relational database skills especially with DB2/Sybase

* Create high quality and optimized stored procedures and queries

* Strong with scripting language such as Python and Unix / K-Shell

* Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.

* Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.

* Experienced in Agile development process

* Java Knowledge is a big plus but not essential

* Experience in delivery of metrics / reporting in an enterprise environment (e.g. demonstrated experience in BI tools such as Business Objects, Tableau, report design & delivery) is a plus

* Experience on ETL processes and tools such as Informatica is a plus. Real time message processing experience is a big plus.

* Good team player; Integrity & ownership

Role - Senior Executive Analytics (BI)

Overview of job -

Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics.

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.

• Work with large data sets via hands-on data processing to produce structured data sets for analysis.

• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

What you will need:

• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.

• Proficiency in one or more coding languages – preferred languages: Python, R

• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

• Proficiency in using SQL.

• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.

Qualifications

● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical

experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,

Statistics, Operations Research, Management Science)

● 3+ years experience with data analysis and metrics development

● 3+ years experience analyzing and interpreting data, drawing conclusions, defining

recommended actions, and reporting results across stakeholders

● 2+ years experience writing SQL queries

● 2+ years experience scripting in Python

● Demonstrated curiosity in and excitement for Web3/blockchain technologies

● Interested in learning new technologies to solve customer needs with lots of creative freedom

● Strong communication skills and business acumen

● Self-starter, motivated by an interest for developing the best possible solutions to problems

● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

The senior product manager will own end-to-end delivery of Synapisca’s AI based radiology products including defining scope, creating wireframes, creating execution plan, product launch, feedback incorporation and iterations. In this role you would not only get to flex your skills but also learn to thrive in a fast-paced start-up environment with a high degree of autonomy. This cross-functional leadership position requires you to work closely with the Engineering, Design, Category Management and Marketing teams to bring new products to life.

Being comfortable in the chaos of a fast-paced environment, dealing with ambiguity, a penchant for innovation, an innate ability to get into details and drive execution excellence is essential to success in this profile.The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

Primary Responsibilities

• Building and executing new initiatives and roadmaps for retention and increasing customer lifetime value.
• Understand the healthcare market, customers and build business cases for new product opportunities.
• Listen to the users on a regular basis and figure out the opportunities to solve their problems.
• Manage product lifecycle from ideation to launch and beyond which would include liaising with multiple stake-holders.
• Work closely with partners and clients from 4 continents to localize the product builds as per their need and ensure adoption of the new features.
• Use data, creativity, and experimentation to constantly improve the product experience
• Plan product reviews with engineering teams and reviews with leadership. 
• Work on product roadmap, backlog, and deliverables. 
• Create and socialize artifacts that clearly communicate requirements including BRDs, user flows, and prototypes.  
• Formulate hypotheses and quickly validate with prototypes, user feedback, and experimentation.  
• Work with customers, support, and engineering teams to handle and resolve any critical customer issues that arise.

Requirements

• 5+ years in software product management with a consistent record of timely and quality delivery of software products
• Experience in one or more of the following is a plus: SaaS, HealthTech, Enterprise products etc.
• High bias for action with demonstrable history of identifying and resolving cross-project interdependencies
• Ability to juggle several initiatives and shift priorities as needed
• Exceptional communication skills (verbal and written communication) with a knack for storytelling
• Data Driven with proficiency on data querying and analysis.
• Experience with tools like SQL, Excel, Tableau, Qlikview etc. is preferred
• Have prior experience in the development team and understand how modern development frameworks function.
• Passionate about translating customer needs to usable design and process flows for growth levers and optimization.
• Have Good understanding of funnels, agile & sprints, and wireframes.
• Have the attitude to be comfortable with ambiguity and have the skill to transform broad ideas into action plans and display Empathy towards users and also your colleagues.
• Understand how the application functions and the technicalities around it.
• Have familiarity with tools like Google data studio, Firebase, Google Analytics, Product Analytics tools, Sketch and Figma.
• Love analytics and very frequent experimentation

Data Analyst

Job Description

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

• Experience in building highly cost optimised data analytics solutions
• Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
• Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
• Experience in working with AWS or GCP
• Experience with relational and NoSQL databases
• Experience to full stack web development (Preferably Python)
• Expertise with data visualisation systems such as Tableau and Quick Sight
• Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
• Familiarity with ML/AÍ technologies is a plus
• Demonstrate strong understanding of development processes and agile methodologies
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

Data Analytics is at the core of our work, and you will have the opportunity to:

• Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
• Lead quick prototypes by integrating data from multiple sources
• Do advanced Business Analytics through ad-hoc SQL queries
• Work on Sales Finance reporting solutions using tableau, HTML5, React applications

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

• You are involved in identifying complex fuzzy problems, break them down into smaller parts and implement creative, data-driven solutions.
• You are responsible for defining, analysing and communicating key metrics and business trends to the management teams. Prepare and deliver business reviews to the management team regarding progress and roadblocks
• Your role involves partnering with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions and data infrastructure improvements to meet business needs. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.

You’re Array (Nice to Haves)

• Exceptional written and verbal communication skills.
• Ability to multitask and work on a range of requirements.
• Experience in analysing very large, complex, multi-dimensional data sets.
• Penchant for business, curiosity about numbers and persistence to work with data to tease out insights.
• Product Analytics tools (either of Amplitude, Mixpanel, Moengage)

You (Must Haves)

• Bachelors in Engineering, Computer Science, Math, Statistics, or a related discipline from a reputed institute or an MBA from a reputed institute.
• You have 1+ Years of experience in relevant role
• Strong problem solving and analytical skills.
• Tableau
• Technical capabilities: Bigquery, SQL and Scripting Language

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

We are looking for a Business Intelligence (BI)/Data Analyst to create and manage Power Bl and analytics solutions that turn data into knowledge.  In this role, you should have a background in data and business analysis. If you are self-directed, passionate about data,

and have business acumen and problem-solving aptitude, we'd like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.

Requirements and Qualifications

• BSc/BA in Computer Science, Engineering, or relevant field.
• Financial experience and Marketing background is a plus
• Strong Power BI development   skills including Migration of existing deliverables to PowerBl.
• Ability to work autonomously
• Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power-BI.
• Proven experience as a Power BI Developer is a must.
• Industry experience is preferred.  Familiarity with other BI tools (Tableau, QlikView).
• Analytical mind with a problem-solving aptitude.

Responsibilities

• Design, develop and maintain business intelligence solutions
• Craft and execute queries upon request for data
• Present information through reports and visualization based on requirements gathered from stakeholders
• Interact with the team to gain an understanding of the business environment, technical context, and organizational strategic direction
• Design, build and deploy new, and extend existing dashboards and reports that synthesize distributed data sources
• Ensure data accuracy, performance, usability, and functionality requirements of BI platform
• Manage data through MS Excel, Google sheets, and SQL applications, as required and support other analytics platforms
• Develop and execute database queries and conduct analyses
• Develop and update technical documentation requirements
• Communicate   insights   to both   technical   and non-technical audiences.

• As a Manager- Business Analysis- you would be working on key problem statements to achieve given business objectives.
• As a Manager- Analyst, you will build the framework for the company’s top metrics related to sales, conversion funnels, inventory related, customer experience metrics and other input/output parameters, seller/ brand-related metrics to monitor business performance.
• Work with internal clients and provide timely solutions to both new initiatives and business as usual requests.
• Ability to conceptualize the best metrics for various problem statements to help business stakeholders achieve their objectives.

Must Haves:

• 2 to 4 years of experience in analytics.
• Should be great at SQL and Excel.
• Should be conversant with R or Python.
• Should have experience in analytics tools such as Tableau, QlikSense, PowerBI, Periscope.
• A First-principles thinker Has the ability to get to the root of problems and come up with logical, practical, and effective solutions.
• Excellent communication skills: written and verbal.

Nice To Have:

• Prior experience in the e-commerce industry.
• Experience in modeling and ML for various e-commerce use cases such as building recommendation models.
• A good understanding of databases and servers.

Key Competencies:

• Business Acumen
• Organizational collaboration
• Learning Agility
• Drive for results
• Execution excellence

• Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.

• Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.

• Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.

• Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.

• Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.

• Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.

• Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.

· 5+ years as a Tableau developer and administrator.

· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).

· Ability to quickly learn and take responsibility to deliver.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus

Specific Responsibilities

• Minimum of 2 years Experience in Google Big Query and Google Cloud Platform.
• Design and develop the ETL framework using BigQuery
• Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.
• Working Experience of Clickstream database, Google Analytics/ Adobe Analytics.
• Should be able to automate the data load from Big Query using APIs or scripting language.
• Good experience in Advanced SQL concepts.
• Good experience with Adobe launch Web, Mobile & e-commerce tag implementation.
• Identify complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions
• Responsible for defining, analyzing, and communicating key metrics and business trends to the management teams
• Identify opportunities to improve conversion & user experience through data. Influence product & feature roadmaps.
• Must have a passion for data quality and be constantly looking to improve the system. Drive data-driven decision making through the stakeholders & drive Change Management
• Understand requirements to translate business problems & technical problems into analytics problems.
• Effective storyboarding and presentation of the solution to the client and leadership.
• Client engagement & management
• Ability to interface effectively with multiple levels of management and functional disciplines.
• Assist in developing/coaching individuals technically as well as on soft skills during the project and as part of Client Project’s training program.

• 2 to 3 years of working experience in Google Big Query & Google Cloud Platform
• Relevant experience in Consumer Tech/CPG/Retail industries
• Bachelor’s in engineering, Computer Science, Math, Statistics or related discipline
• Strong problem solving and web analytical skills. Acute attention to detail.
• Experience in analyzing large, complex, multi-dimensional data sets.
• Experience in one or more roles in an online eCommerce or online support environment.

• Expertise in Google Big Query & Google Cloud Platform
• Experience in Advanced SQL, Scripting language (Python/R)
• Hands-on experience in BI tools (Tableau, Power BI)
• Working Experience & understanding of Adobe Analytics or Google Analytics
• Experience in creating and debugging website & app tracking (Omnibus, Dataslayer, GA debugger, etc.)
• Excellent analytical thinking, analysis, and problem-solving skills.
• Knowledge of other GCP services is a plus

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

JOB DESCRIPTION

Product Analyst

About Us:-

"Slack for Construction"

Early stage startup cofounded by IIT - Roorkee alumnis. A Mobile-based operating system to manage construction & architectural projects. Material, all the info is shared over whatsapp, mobile app to manage all this in one single place - almost like a slack tool for construction.Mobile app + SAAS platform - administration and management of the process, 150000 users, subscription based pricing.It helps construction project owners and contractors track on-site progress in real-time to finish projects on time and in budget. We aim to bring the speed of software development to infrastructure development.Founded by IIT Roorkee alumni and backed by industry experts, we are on a mission to help the second largest industry in India-Construction make a transition from pen and paper to digital.

As a productivity app startup, we value productivity and ownership most. That helps raise our own bar and the bar of people we hire.We follow agile and scrum approaches for product development and use best of class tools and practices. Measuring our progress on a weekly basis and iterating fast enables us to build breakthrough modules and features rapidly.If you join us, You will be constantly thrown into challenging situations. Decisions that you take, will directly impact our clients and sales. That's how we learn.

• Prior experience in any data driven decision making field.
• Working knowledge of querying data using SQL.
• Familiarity with customer and business data analytic tools like Segment, Mix-panel, Google Analytics, SmartLook etc.
• Data visualisation tools like Tableau, Power BI, etc.
•  

Responsibility -

"All things data"

• Ability to synthesize complex data into actionable goals.
• Critical thinking skills to recommend original and productive ideas
• Ability to visualise user stories and create user funnels
• Perform user test sessions and market surveys to inform product development teams
• Excellent writing skills to prepare detailed product specification and analytic reports
• Help define Product strategy / Roadmaps with scalable architecture
• Interpersonal skills to work collaboratively with various stakeholders who may have competing interests

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

  after startups in India

• upGrad was earlier selected as one of the top ten most innovative companies in India

  by FastCompany.

• We were also covered by the Financial Times along with other disruptors in Ed-Tech

• upGrad is the official education partner for Government of India - Startup India

  program

• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

   

  Role Summary

  Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
  If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
  We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
  Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.

  
  Roles & Responsibilities

  • • 3+ years of experience in analytics, data science, machine learning or comparable role
    • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
    • Experience in building and deploying Machine Learning models in Production systems
    • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
    • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
    • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
    • Comfortable dealing with ambiguity and competing objectives

     

    Skills Required

    • Experience in Text Analytics, Natural Language Processing

    • Advanced degree in Data Science/Data Analytics or Math/Statistics

    • Comfortable with data-visualization tools and techniques

    • Knowledge of AWS and Data Warehousing

    • Passion for building data-products for Production systems - a strong desire to impact

      the product through data-science technique

Role Summary

We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.

Roles & Responsibilities

• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
• Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
• Facilitate review sessions with management, business users and other team members
• Design and create visualizations to present actionable insights related to data sets and business questions at hand
• Develop intelligent models around channel performance, user profiling, and personalization

Skills Required

• Having 4-6 yrs hands-on experience with Product related analytics and reporting
• Experience with building dashboards in Tableau or other data visualization tools such as D3
• Strong data, statistics, and analytical skills with a good grasp of SQL.
• Programming experience in Python is must
• Comfortable managing large data sets
• Good Excel/data management skills

DataWeave is a Data Platform which aggregates publicly available data from disparate sources and makes it available in the right format to enable companies take strategic decisions using trans-firewall Analytics. 

It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!

Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver

• Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction.
• Work with the internal delivery team to ensure delivery quality to exceed client's expectations.
• Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
• Develop, prepare, and nurture customers for testimonials, references and case studies.
• Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
• Work to identify and/or develop upsell opportunities.
• Ensure billing and collection of the assigned accounts is under control.
• Advocate customer needs/issues cross-departmentally.
• Manage account escalations.

• Proven ability to drive continuous value of solutions/products.
• Familiarity working with clients of all sizes.
• Impeccable written and verbal communication skills.
• Detail oriented and analytical.
• Strong team player but still a self-starter.
• Thrives in a multi-tasking environment and can adjust priorities quickly.

• Fast paced growth opportunities at dynamically evolving start-up.
• You have the opportunity to work in many different areas and explore wide variety of tools to figure out what really excites you.