Technical Lead-Data Engg

Area(s) of responsibility

Responsibilities

Perform business and data analysis for end user reports and ETL requests.

• Collaborate with various stakeholders, including business users, IT teams, and external vendors to gather, analyze, and document business requirements related to finance or investments and data integration solutions.
• Assist the development and delivery of ETL applications, adhoc / recurring reports. Assist with testing and implementation from a data lifecycle perspective.
• Acquire a strong understanding of the company’s AI initiatives and assist in designing, building, and implementing AI solutions for investments, when required.
• Develop appropriate data requirements of documentation in line with PB’s/PCS’s SDLC framework including data requirements, data mapping, data analysis and test plans, workflows, and data integrations.

Technical Qualifications

• 6 – 8. 5 years of background knowledge as a Data Analyst or IT Business Analyst with a focus on finance or investments and data analysis / integration.
• Strong knowledge of relevant technology toolsets relative to data analysis and documentation including SQL, data modeling, metadata organization, data cleaning, and reporting tools.  (i.e., business objects, or other data reporting / data mining tools.
• Require experience with large SQL databases.
• Good to have knowledge on MicroStrategy, is a plus
• Adept within queries, report writing, and able to present findings.
• Familiarity with the Pharma or Med Tech domain, is a plus.