Assistant Manager - Data Governance - Finance Domain

Data Governance

Shifts : Flexible/ Rotational Shifts

Experience: 5 - 8 Years

Level : Consultant

Responsibilities:

Understands and can measure various dimensions of Data Quality (using tools and without)

Understand Business Glossaries and related topics

Can rationalize multiple meanings for the same data definitions

Can solicit input from business teams and Data Stewards to standardize business glossary terms

Can manage work-streams and defined pieces of work

Utilize tools (IBM Information Analyzer, Metadata Workbench, IBM business Glossary etc.) to analyze, query and manipulate data according to defined business rules and procedures.

Proficient in SQL and Regex. Experience with Programming basics in Java, COBOL, BIG Data (Hadoop) will be an advantage.

Proficient in reporting tools like Power BI and Tableau

Any experience on the IBM Info Sphere Information Analyzer tool will be a plus

Understanding of Data Models, Schemas, DDLs

Requirements :

A Graduate/Post Graduate from a Computer Science, Management Information Systems or a related field with more than 5 Years of Data Quality/Governance experience

Must be flexible to work in shifts and/or on a rotational basis

Reviews, analyzes, and ensures the quality of data in database systems and provides support from a quality perspective. Must be able to understand business rules, work with varying data formats, and develop metrics and audit procedures to monitor data quality.

Formulate business rules for data

Write and present - both for a business and technical audience

Translate business concepts and concerns into logical statements and code

Understand, query and manipulate varying data and file formats. Identify, compare, and resolve data quality problems. Measure and audit large volumes of varying data for quality issues. Works with multiple groups, including overseas groups, to resolve issues.

Documents data process flows and transformation rules

Follow defined audit procedures, and produce required metrics according to defined procedures.

Correct data quality errors, either with system tools or working with the DQ or LOB teams.

May update/maintain database with reviewed and corrected data.

Review data and record layouts prior to submitting to development or DQ teams and does final check when data is loaded. May approve release of data into production.

Prepare reports and track trends.

Interpret, evaluate and resolve or escalate phone/e-mail inquiries pertaining to user requests.

Provide training to other Data Quality Analysts.

Education: Any Finance