Principal responsibilities :

- Ability to convert business problem to an analytical problem and then finding pertinent solutions

- Overall business understanding of BFSI domain

- Providing high-quality analysis and recommendations to business problems.

- Efficient project management and delivery

- Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making

- Focus on driving efficiency gains and enhancement of processes.

- Use of data to improve customer outcomes through the provision of insight and challenge

- Also drive business benefit through self-initiated projects

Leadership & Teamwork :

- The person is expected to have good attitude of a team player, working with a mixed cultural team across the globe.

- The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc.

- The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary

- Working with an Agile mindset, using regular project management tools like Jira, Confluence, GitHub etc. to share updates and remaining on top of the work

- One must display good stakeholder management and collaboration skills

- Complete adherence to overall Management of Risk/Internal Controls/Compliance for self and the team

3. Must-have skills :

- Python + SQL (mandatory)

- PySpark (mandatory if available, else Python + SQL ok)

- SAS (must-have exposure)

- Visualization/Tableau or Power BI (at least one is required)

4. Good-to-have :

- ML (Regression, Classification, Clustering, Forecasting, Fraud detection, A/B Testing)

- Big Data (Databricks, Hadoop)

- Cloud (preferably GCP)

- Jira, Confluence, Agile ways of working.

Excludes :

- Pure Data Engineers

- BI/Reporting-heavy candidates (just Power BI/Tableau without analytics)

- MIS/Excel analysts