Senior Data Analyst

Role purpose:

A person adept with data analysis techniques is required for the job. The role requires the candidate to handle large datasets and abilities to perform data modelling, validation, and statistical analyses on them using various data analysis tools. The incumbent is expected to drive project deliveries along with managing team of data professionals while liaising with business stakeholders at the same time

Principal Accountabilities and Responsibilities

Ability to convert business problem to an analytical problem and then finding pertinent solutions
1. Overall business understanding of BFSI domain
2. Providing high-quality analysis and recommendations to business problems.
3. Efficient project management and delivery
4. Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
5. Focus on driving efficiency gains and enhancement of processes.
6. Use of data to improve customer outcomes through the provision of insight and challenge
7. 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.
1. The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc.
2. The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary
3. 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
4. One must display good stakeholder management and collaboration skills
5. Complete adherence to overall Management of Risk/Internal Controls/Compliance for self and the team

Technical Knowledge

- Python
- SQL
- SAS
- Excel
- Pyspark

1. Prior project management experience with knowledge of Agile methodology and exposure to project management tools like Jira, Confluence, GITHUB
2. Exposure to Bigdata and Hadoop data lake is a big plus
3. Knowledge of cloud platforms like GCP, Azure, AWS is a big plus
4. Expertise in visualization tools like Qlik sense, Tableau, Power BI is good to have