Data Analyst / Business Analyst

Data Analysis and Engineering (70%):

ETL Development: Design, develop, and optimize ETL processes to ensure smooth data flow from source to target systems, leveraging tools like SQL, Informatica, and Spark.

Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs.

Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations.

Source to Target Mapping: Work closely with the data engineering team to map data from various sources to target systems, ensuring accurate data transformations and alignment with business logic.

Business Analysis (30%):

Stakeholder Engagement: Collaborate with business stakeholders to understand their requirements, translate complex data insights into clear, actionable business language, and present meaningful reports.

JIRA Management: Utilize JIRA for project tracking and documentation of business requirements, ensuring efficient communication and tracking of tasks, issues, and enhancements.

Data-Driven Decision Making: Use data insights to guide business decisions, helping stakeholders to make informed choices backed by accurate data analysis.