Senior Data Analyst

Must-Have:

● 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.

● Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.

● Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.

● Data mapping:Determine the data mapping required to join multiple data sets together across multiple sources.

● Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.

● Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.

● Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.

● Understanding of ER Diagram and Data Modeling concepts

● Exposure to Data quality validation

● Exposure to Data Management, Data Cleaning and Data Preparation

● Exposure to Data Schema analysis.

● Exposure to working in Agile framework.

SQL, Pyspark, Python with Banking Domain knowledge / Credit & Lending domain knowledge.

● Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous

● Retail Credit / Traded Credit knowledge - applications will be considered

Good To Have:

● BFSI Domain knowledge

● Data Visualization - Tableau or Qlik Sense

● Exposure to Hadoop, Hive and ETL.

● Working knowledge of any cloud services like AWS or GCP or Azure.

● Any relevant certifications would be a plus.

Role & Responsibilities:

● Take complete responsibility for the sprint stories' execution.

● Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.

● Mapping of business entities to technical attributes with the logic for transformation defined clearly.

● Be accountable for the delivery of the tasks in the defined timelines with good quality.

● Follow the processes for project execution and delivery.

● Follow agile methodology.

● Working with the team leads closely and contribute to the smooth delivery of the project.

● Understand/define the architecture and discuss the pros-cons of the same with the team.

● Involve in the brainstorming sessions and suggest improvements in the architecture/design.

● Working with other teams leads to getting the architecture/design reviewed.

● Keep all the stakeholders updated about the project, task status, risks, and issues if any.