Job Description

Manager - Analytics (Data Analytics)

- Consulting Background, ie, Analytics firm experience preferred (Payments Industry and Retail background preferred for General Analytics and Retail Analytics respectively).

- Hands on SQL Mandate with any Visualization experience ; Tableau preferred + priority.

- For Analytics Role, kindly don\'t get profiles from IT domain with DW or any data engineering profiles. Strictly looking only from Analytics domain.

- Experience in Data Analytics, Dashboards, BI tools, Data Crunching, Reporting, Data Modeling, Insights Generation etc.

- Knowledge on advanced analytics or ML modeling will be an added advantage.

- IIT/IIM folks preferred

- For Banking domain , client management and team leading experience is mandatory.

Role & Responsibilities :

- Interact with the client to understand their requirements and communicate / brainstorm solutions

- Contribute to how analytical approach is structured for specification of analysis

- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems

- Participate in design of analysis and modeling approach with managers and modelers

- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client\'s data/ IT teams to resolve issues

- Use variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision making

- Reformulate highly technical information into concise, understandable terms for presentations

Candidate Profile :

- Master\'s or Bachelor\'s degree in math, statistics, economics, computer engineering or analytics related field from top-tier universities with strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

- Analytics delivery experience preferably in retail/media/sports/payments/banking domain

- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required

- Hands-on experience using one or more analytics tools such as Python/ R/SQL & Big data tools & platforms such as Hive, Spark, Tez, HDFS is mandatory

- Good knowledge of visualization tools such as Power BI & Tableau is preferred

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