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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

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Responsibilities :

• Involve in planning, design, development and maintenance of large-scale data repositories, pipelines, analytical solutions and knowledge management strategy
• Build and maintain optimal data pipeline architecture to ensure scalability, connect operational systems data for analytics and business intelligence (BI) systems
• Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Reporting and obtaining insights from large data chunks on import/export and communicating relevant pointers for helping in decision-making
• Preparation, analysis, and presentation of reports to the management for further developmental activities
• Anticipate, identify and solve issues concerning data management to improve data quality

Requirements :

• Ability to build and maintain ETL pipelines 
• Technical Business Analysis experience and hands-on experience developing functional spec
• Good understanding of Data Engineering principles including data modeling methodologies
• Sound understanding of PostgreSQL
• Strong analytical and interpersonal skills as well as reporting capabilities

Position Profile

Qlik Sense Developer

Location:  Mumbai/Gurgaon

Job Description

Role Summary:

Lead and drive the development in BI domain using Qlik Sense eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Qlik Sence eco-system.

Key functions & responsibilities:

• QlikView/Qlik Sense Data Architect (possibly certified) with extensive knowledge of QlikView and Qlik Sense including best practices for data modelling, application design and development.
• Familiarity with the use of GeoAnalytics, NPrinting, extensions, widgets, mashups, ODAG and various other advanced features used in Qlik Sense development.
• Good knowledge working with Set Analysis.
• Experience working with Qlik Sense sites and the Qlik Management Console, creating rules, and managing the streams, as well as user and application security.
• Knowledge of Active Directory, proxies, load balancers, etc.
• Experience in troubleshooting connectivity, configuration, performance, etc.
• Strong communication and presentation skills.

Candidate’s Profile

Academics:

• Bachelor’s degree preferable in Computer science.
• Master’s degree would have an added advantage.

Experience:

 2-6 years of experience in Qlik Sense designing and development.

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

• Key responsibility is to design, develop & maintain efficient Data models for the organization maintained to ensure optimal query performance by the consumption layer.
• Developing, Deploying & maintaining a repository of UDXs written in Java / Python.
• Develop optimal Data Model design, analyzing complex distributed data deployments, and making recommendations to optimize performance basis data consumption patterns, performance expectations, the query is executed on the tables/databases, etc.
• Periodic Database health check and maintenance
• Designing collections in a no-SQL Database for efficient performance
• Document & maintain data dictionary from various sources to enable data governance
• Coordination with Business teams, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
• Data Governance Process Implementation and ensuring data security

Requirements

• Extensive working experience in Designing & Implementing Data models in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc).
• Programming experience using Python / Java.
• Working knowledge in developing & deploying User-defined Functions (UDXs) using Java / Python.
• Strong understanding & extensive working experience in OLAP Data Warehousing (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) architecture and cloud-native Data Lake (S3, ADLS, BigQuery, etc) Architecture.
• Strong knowledge in Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model.
• Extensive technical experience in SQL including code optimization techniques.
• Strung knowledge of database performance and tuning, troubleshooting, and tuning.
• Knowledge of collection design in any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc), along with implementation of best practices.
• Ability to understand business functionality, processes, and flows.
• Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently.
• Any OLAP DWH DBA Experience and User Management will be added advantage.
• Knowledge in financial industry-specific Data models such as FSLDM, IBM Financial Data Model, etc will be added advantage.
• Experience in Snowflake will be added advantage.
• Working experience in BFSI/NBFC & data understanding of Loan/Mortgage data will be added advantage.

Functional knowledge

• Data Governance & Quality Assurance
• Modern OLAP Database Architecture & Design
• Linux
• Data structures, algorithm & data modeling techniques
• No-SQL database architecture
• Data Security