Assistant Vice President - Data Analyst - Business Consulting - Bank

Mandatory - Data Analyst + Analytics + Python + Sql + Pyspark

Banking domain is a must.

- A core data analyst with experience in visualization, modeling assignments, data analytics, & segmentation chronicle in Regression, Classification & Clustering Analysis of Data.

- Skill must have: Data Analytics, Product Analytics, Statistical Analysis & Statistics, Data Modelling, Machine Learning Models, Data Visualization, Forecasting and Prediction, Fraud Detection, Source to target Mapping, A/B Testing Tools and Programming Languages: R Programming, Python, Spark, PySpark, Airflow, SQL, Presto, PostgreSQL, R Shiny, Alteryx, dbt, Tableau, Looker and LookML, Excel, Databricks, RDBMS.

- Experience range: Relevant Data Analyst experience must be above 8 to 10 yrs.

- Experience in working in banking domain is a must

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

Qualifications:

- Python

- SQL

- SAS

- Excel

- Pyspark

- Prior project management experience with knowledge of Agile methodology and exposure to project management tools like Jira, Confluence, GITHUB

- Exposure to Bigdata and Hadoop data lake is a big plus

- Knowledge of cloud platforms like GCP, Azure, AWS is a big plus

- Expertise in visualization tools like Qliksense, Tableau, Power BI is good to have