Consultant, Data Governance

General Position Description:
This position supports the Data Governance function to build a quality framework of critical data to improve, monitor and thereby leverage common tools and governance across a variety of data sources.

Minimum 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

Desired Competencies:
Ability to communicate effectively with senior business stakeholders. Has done similar work in enterprise data governance groups implementing change and DG best practices.
Worked and understands and can measure various dimensions of Data Quality (using tools and without)
Self-driven and a quick learner of different tools, technologies, concepts and frameworks and is comfortable in driving it independently with little to no direction
Worked and understands Meta Data concepts as well as Lineage concepts
Worked and understands Business Glossaries and related topics
Ability to communicate effectively with senior business stakeholders. Has done similar work in enterprise data governance groups implementing change and
DG best practices.
Has experience with Master Data, Data Domains. Can clearly articulate what is master data and what is the mastering process. Ideally should have worked on data governance of customer and product data and should be able to talk about challenges on data definitions, taxonomy, and data quality
Experience implementing data governance standards in particular metadata and data quality. Can clearly articulate how they have made data quality controls effective.
Has worked with complex databases and applications - legacy and newer technologies
Has worked on big strategic data governance projects
Comes with a financial domain understanding
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 (Collibra) to analyze, query and manipulate data according to defined business rules and procedures. Collibra work experience is a must
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
Experience in Data Warehouse projects is a plus
Exposure to File Transmissions
Trouble Shooting on the Data Gaps
Excel: importing and manipulating data
Usage of Excel advance features

Key Responsibilities:
Work on Data Quality projects and deliver results while being strategic
Work with Master Data, Data Domains. Can clearly articulate what is master data and what is the mastering process. Ideally should have worked on data governance of customer and product data and should be able to talk about challenges on data definitions, taxonomy, and data quality
Implementing data governance standards in particular metadata and data quality. Can clearly articulate how they have made data quality controls effective.
Work with complex databases and applications - legacy and newer technologies
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.

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for . We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.