• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 1st Nov 2024

Performing analysis to assess the quality and meaning of data.

Filter Data by reviewing reports and performance indicators to identify and correct code problems.

Identify, Analyze, and Interpret patterns and trends in data sets could be helpful for the diagnosis and correction.

Develop data quality monitoring practice scope and capabilities.

Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

Building Power BI reports for the management stating trends, patterns, and predictions using relevant data.

Collaborate with data engineers and business teams to improve data models that feed Power BI and increase data accessibility.

Actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, geological, and financial data sources

Working with data engineers and various business users to identify process improvement opportunities and propose system modifications.

Lead business requirement sessions with stakeholders eliciting clear and comprehensive requirements for system features and enhancements.

Take lead in Data Cataloging, Lineage, Security and Controls for entire data marketplace.

Develop and execute SQL scripts to test data conversions and perform ad-hoc analysis.

Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Gain Domain Knowledge and conduct end user training.

Removing corrupted data and fixing coding errors and related problems

Identify, address and document areas for process improvement and automation in our data flows.