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Job Role : Audit Analytics – Need from Non Banking domain

Job Location : Gurgaon / Mumbai / B’lore

• Understanding of business processes and potential risk scenarios.
• Ability to conceptualize appropriate logic for analyzing potential risk scenarios
• Ability to understand requirements clearly and to be flexible in learning new data sources and technologies, meeting tight deadlines, and delivering quality reports for auditors.
• Maintain strong client focus by building positive relationships with clients, scheduling, conducting and presenting on key client meetings.
• Should be able to write/optimize complex scripts in the technology of expertise. Should be able to review results and identify false positives basis business understanding
• Should be a self-starter and eager to tackle business problem using experience and skills
• Play a key role in the development of less expert staff through mentoring, training and advising.
• 30% Travel in India and Overseas, if required
• Excellent communication skills and willingness to stretch and multi-task
• May be assigned on a project on a long term basis.
• Responsibilities include managing projects involving audit analytics and continuous control monitoring.
  • Understanding of business process (Accounts Payable, Revenue, Fixed Asset, Inventory, MJEs) from analytics requirements
  • Understanding of ERPs (SAP\ JDE\ Oracle\ Concur etc.) – Techno Functional side (Tables and Reports)

Qualifications

Minimum qualifications

• Preferred Post Graduates– MCom\ MSc (IT)\ MBA (IT)\ BE
• Years of experience in related field of Audit\ Business \ Financial analytics (Non-banking).
• Working knowledge of analytical / BI tools –

• ACL, SQL / R / Python, Alteryx – Should have any 2 or more
• VBA, Power BI / Tableau / QlikView
• GRC Solutions, AWS/Azure cloud based analytical solutions – Good to have

• Have worked on data analytics support work either as tool implementation, automation of control or MIS development

1. Bridging the gap between IT and the business using data analytics to assess processes, determine requirements and deliver data-driven recommendations and reports to executives and stakeholders.

2. Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose

3. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met

4. Prioritization of issues to meet deadlines while ensuring high-quality delivery

5. Ability to pull data and to perform ad hoc reporting and analysis as needed

6. Ability to adapt quickly to new and changing technical environments as well as strong analytical and problem-solving abilities

7. Strong interpersonal and presentation skills

SKILLS:

1. Advanced skills in designing reporting interfaces and interactive dashboards in Google Sheets and Excel

2. Experience working with senior decision-makers

3. Strong advanced SQL/MySQL and Python skills with the ability to fetch data from the Data Warehouse as per the stakeholder's requirement

4. Good Knowledge and experience in Excel VBA and advanced excel

5. Good Experience in building Tableau analytical Dashboards as per the stake holder's reporting requirements

6. Strong communication/interpersonal skills

PERSONA:

1. Experience in working on adhoc requirements

2. Ability to toggle around with shifting priorities

3. Experience in working for Fintech or E-commerce industry is preferable

4. Engineering 2+ years of experience as a Business Analyst for the finance processes

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.

About the company

WonDRx (pronounced as Wonder-Rx) - spearheaded by two serial Entrepreneurs Mr. Pankaj Sindhu along with his Co-Founder Mr. Pankaj Agrawal; is a very unique and novel technology which has the capacity to change the way healthcare eco-system interacts with each-other. We are determined to change the way of Healthcare domain working and make it more convenient while ensuring a pleasant experience for the consumers and all other stakeholders involved. You need to see the product to believe the power it has and what it can enable in the healthcare domain.

Designation: Team Leader Data Analyst & Project Management

Job Description:

We are seeking a highly skilled and detail-oriented Team Leader- Data Analyst & Project to join our team. In this role, you will be responsible for extracting insights from raw data, preparing analytics reports, and overseeing data-driven projects from start to finish.

The ideal candidate should have a strong background in Advanced Excel, proficiency in various Business Intelligence (BI) tools will be an added advantage, and experience in follow up with various internal and external stakeholders related to ongoing projects.

Responsibilities:

•          Gather, clean, and validate raw data from various sources.

•          Develop and maintain efficient data management systems.

•          Apply advanced Excel techniques to manipulate and analyse data effectively.

•          Utilize BI tools to create insightful reports, visualizations, and dashboards.

•          Identify trends, patterns, and correlations in data sets.

•          Collaborate with cross-functional teams to understand their data needs and provide analytical support.

•          Present findings and recommendations to stakeholders in a clear and understandable manner.

•          Manage data-driven projects from initiation to completion, ensuring deliverables are met on time and within budget.

•          Maintain project plans, including timelines, resource allocation, and task assignments.

•          Monitor project progress, identify risks, and implement mitigation strategies.

•          Coordinate and communicate with team members, ensuring alignment and effective collaboration.

•          Prepare project status reports and deliver presentations to stakeholders.

•          Evaluate project outcomes and identify areas for improvement.

Requirements:

•          Master’s or Bachelor's degree with a relevant experience in coordinating Data Driven projects

•          Proficiency in Advanced Excel functions and formulas.

•          Knowledge of at least one Business Intelligence (BI) tool (e.g., Tableau, Power BI, QlikView) will be an added advantage

•          Excellent project management skills, including planning, organization, and prioritization.

•          Strong problem-solving and critical-thinking abilities.

•          Excellent communication and interpersonal skills.

•          Ability to work independently and manage multiple projects simultaneously.

•          Attention to detail and ability to work with complex datasets.

Preferred Skills:

•          Data Analysis: Candidate should have strong analytical skills which is crucial for a data analyst. You should be able to collect, organize, and interpret complex data sets to extract meaningful insights. Advanced Excel is a must.

•          Communication and Presentation: Data analysts should be able to effectively communicate their findings to both technical and non-technical stakeholders. You would need to effectively communicate with team members, stakeholders, and other project stakeholders. This includes written communication through project documentation and reports, as well as verbal communication for conducting meetings, providing updates, and resolving issues.

•           Continuous Learning: We are a constantly evolving startup. Ideal candidate should have willingness to learn new techniques, stay updated with the latest tools and technologies, and adapt to changing trends which is crucial for long-term success.

•           Team Player: You should be able to motivate and inspire team members, provide guidance, and facilitate decision-making processes.

•           Project Coordinator: As a project coordinator you should possess strong problem-solving and critical-thinking skills to identify issues, analyse root causes, and propose and implement appropriate solutions

 Job DescriptionPosition: Sr Data Engineer – Databricks & AWS

Experience: 4 - 5 Years

Company Profile:

Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.

Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.

Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.

​Role Overview: 

·         A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.

·         The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.

Job Responsibilities

•         Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.

•         Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.

•         Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.

•         Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.

Technical Skills 

•         Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.

•         Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.

•         Experience in Pentaho

•         Good understanding of developing a data warehouse, data marts etc.

•         Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.

Personality Traits

•         Good collaboration and communication skills

•         Excellent problem-solving skills to be able to structure the right analytical solutions.

•         Strong sense of teamwork, ownership, and accountability

•         Analytical and conceptual thinking 

•         Ability to work in a fast-paced environment with tight schedules.

•         Good presentation skills with the ability to convey complex ideas to peers and management.

Education:

BE / ME / MS/MCA.

 PLSQL  Developer

experience of 4 to 6 years

Skills- MS SQl Server and Oracle, AWS or Azure

•            Experience in setting up RDS service in cloud technologies such as AWS or Azure

•            Strong proficiency with SQL and its variation among popular databases

•            Should be well-versed in writing stored procedures, functions, packages, using collections,

•            Skilled at optimizing large, complicated SQL statements.

•            Should have worked in migration projects.

•            Should have worked on creating reports.

•            Should be able to distinguish between normalized and de-normalized data modelling designs and use cases.

•            Knowledge of best practices when dealing with relational databases

•            Capable of troubleshooting common database issues

•            Familiar with tools that can aid with profiling server resource usage and optimizing it.

•            Proficient understanding of code versioning tools such as Git and SVN

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

You will: 

• Understand business problems and translate business requirements into technical requirements. 
• Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
• Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
• Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
• Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
• Lead and mentor data analysts. 

We are looking for someone who has: 

• Apart from your love for data and ability to code even while sleeping you would need the following. 
• Minimum of 02 years of experience in designing and delivery of data science solutions. 
• You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
• Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
• Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
• Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

• Regression
• Classification
• Predictive Modelling
• Prescriptive Modelling
• Python
• R
• Descriptive Modelling
• Time Series
• Clustering
•  

What is in it for you: 

• Be a part of building the biggest brand in Data science. 
• An opportunity to be a part of a young and energetic team with a strong pedigree. 
• Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

Please Note:  

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.

Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.

As a Assistant Manager - Business Intelligence, you will be responsible for support building and executing portfolio and respective brand execution strategy by mining, understanding, internalising, and creating action stands about inflow and outflow of information from different internal and external sources.

• Assimilating sales & inventory data streams from different ecommerce partners daily
• Planning different inventory streams for all portfolio brands vis--vis PO requirements
• Building future projection models for brands to support healthy and sufficient inventory capacities

Desired Candidate Profile

• Self direction
• Ability to think beyond operational hurdles

Job Description

This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.

Problems being solved by our client: 

Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.

Duties and responsibilities:

• The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. 
• Develop, implement, and support statistical or machine learning methodologies and processes. 

• Build, test new features and concepts and integrate into production process
• Participate in ongoing research and evaluation of new technologies
• Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
• Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients

Qualifications:

• 3-5 years relevant work experience in areas as outlined below
• Experience in extracting data using SQL from large databases
• Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.

• Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. 
• Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.  
• Excellent verbal and written communication skills. 
• Experience with TV or digital audience measurement or market research data is a plus. 
• Familiarity with systems analysis or systems thinking is a plus. 

• Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
• Excellent verbal, written and computer communication skills
• Ability to engage with Senior Leaders across all functional departments
• Ability to take on new responsibilities and adapt to changes

• Hands-on experience in any Cloud Platform

• Microsoft Azure Experience