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Job Descrption

Project description

This project aims to leverage a hybrid professional with a strong foundation in both data analytics (70%) and business analysis (30%). The role focuses on optimizing data processes, building efficient pipelines, and translating data insights into actionable business strategies for stakeholders.

Responsibilities
• 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.

SKILLS

Must have
• 70 % Data Analyst and 30 % Business Analyst (Mix of DA and BA role)
• ETL and Data engineering background - SQL, Informatica, Spark, Rest APIs
• How to translate data from source to target, Data profiling
• Knowledge of Real-time data pipelines
• Translate the data into business language to present to stakeholders

Nice to have

• Familiarity with Agile or other project management methodologies

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