Data Quality/ Data Governance - Lead Analyst at Citi

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Data Governance, Analytical Methodology, SAS, SQL, Teradata, MS Excel, PowerPoint, Banking Domain, Audit Framework, Risk & Control Metrics, BI Tools, Automation, Process Re-engineering, Project Management, Communication Skills, Mentoring

Industry

Financial Services

Description

Liaison with Business, Operations and Technology stakeholders to identify critical data elements, define data quality rules, and implement data quality measurement and monitoring Implement data quality issue management and resolution processes to ensure data quality issues are identified, prioritized and remediated effectively Lead efforts to implement or modify necessary policies, procedures and system enhancements to fill current and future Data Governance Gaps Directly manage team of DQ analysts and involve very closely in day to day work. Help team members in understanding requirements for all DQ profiling/ ad-hoc requests and provide required support to build logic for the same. 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. Design, Implement and enforce strong processes and framework to efficiently manage end to end Data Quality engagement. Also, support and help team in process re-engineering, optimization and automation. Ensuring required controls, checks, governance, process documentation is always upto date and maintained regularly. Having productive team meetings, 1-on-1 meetings regularly with all team members. Understand concerns, challenges and roadblocks team is facing and provide them all the required support to overcome the same. Proficient in formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data Generate actionable Business Insights Tools and Platforms Proficient in SAS, SQL, Teradata Proficient in MS Excel, PowerPoint Good understanding of Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.) Audit Framework Data quality framework Risk & control Metrics Exposure to BI tools and technologies - example: Tableau or Cognos or SAS BI 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 MBA / Masters Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in - Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 10+ years of hands on experience in people management, delivering data quality, MIS, data management with at least 2-3 years' experience in Banking Industry ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The Lead Analyst will liaise with stakeholders to identify critical data elements and implement data quality measurement and monitoring. They will also manage a team of analysts, ensuring effective issue management and resolution processes.