Business Analyst - Data Governance and Quality
The Data/Information Mgt Int Anlst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Data Governance team is responsible for implementation of data related initiatives as part of the global transformation efforts aligned with Global Consumer Bank. The critical areas we support:
•Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML, Consent Order etc
•Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules
•Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions; conformance to Citi Data Governance Policy
•DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management
•Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
•Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion
Analytical / Project management Skills
•Drive CDE identification; DQ rules and measurements, DQ scorecards and reporting
•Drive business product manager alignments and lineage sign offs
•Drive identification of CDEs across system lineage / trusted sources
•Drive data profiling; Develop consistent DQ rules across DQ dimensions
•Drive implementation of data quality measurement scorecards
•Identify DQ issues and assist in red metrics reductions
•Report data quality / scorecards
•Assist metadata for physical & logical data elements
•Lead efforts to implement policies, procedures and system enhancements to fill current and future Data Governance Gaps
•Provide all the support to Data Governance/Data Stewards including Partner / stakeholder management, expectations settings with partners, prioritization of work to team members, and act as Data and functional SME.
•Develop and maintain project management trackers and provide regular updates to managers, senior leadership team and stakeholders.
•Ensuring required controls, checks, governance, process documentation is always up-to date and maintained regularly.
Tools and Platforms
•Data Lineage Tools, Metadata Management Tools
•Proficient in MS Excel, PowerPoint, Word
•Understanding of Enterprise Data Warehouse like Bigdata, Teradata, IBM DB2, Oracle
•Exposure to SAS, Python, SQL/data retrieving tools
Good understanding of
•Knowledge of consumer banking processes and controls
•Reasonable Data Management understanding
•Seasoned go getter who can manage uncertainty
•Able to influence large and diverse set of stakeholders
•Detail oriented; diligent and self-driven
•Good mix of product mgmt. / technology background
•Experience in managing projects and requirements
•Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)
•Data Governance framework
- •Risk & control Metrics
(Preferred) - Knowledge of Finance Regulations, Understanding of Audit Process
Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
Big data and machine learning experiences are (R, Python etc.)
•Exposure to BI tools and technologies – example: Tableau or Cognos or MS BI or Qlikview, etc.
•Automation and process re-engineering / optimization skills
•Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form
•Should have excellent communication and inter-personal skills
•Good process/project management skills
•Mentoring junior members in the team
•Ability to work well across multiple functional areas
•Ability to thrive in a dynamic and fast-paced environment
•Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
•Proactive approach in solving problems and eye for details
•A strong team player
- Bachelors/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:Decision Management
Job Family:Data/Information Management
Time Type:Full time
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