Data Governance Analyst

Data Governance Analyst (AVP)

6-10 Years

Bangalore/Pune

Notice Period-30 Days Max

Interview Process:

HE – Hacker Earth Assessment (Mandatory to proceed for next rounds)

F2F / Virtual Discussions

Mandatory Skills

• Data Governance & Data Quality Management
• Data Lineage & Control Frameworks
• SQL (Advanced proficiency)
• Cloud / Data Warehouse experience
• Regulatory Reporting (Banking/Retail)
• Risk & Control Management
• Stakeholder & Cross-functional Collaboration
• Data Pipeline Development
• Statistical / Advanced Analytics
• Dashboarding & Data Visualization

To be successful as Data Governance Analyst, you should have experience with:

• Data and Record governance, data controls, data lineage and associated methodologies.
• Experience in data products, cloud and data warehouses
• Business Domain (Retail or Banking) and Regulatory reporting experience.
• Working in a regulated environment and solid understanding of data and control risk management.
• SQL and related skill set Knowledge is required

Additional relevant skills include:

• Understanding of different technologies around the execution of data control.
• Ability to proactively drive change.
• Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders.
• Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls.
• Proficiency in data analytics and insight generation to derive actionable insights from data.
• AWS (Any Cloud) and related components and Python Skill set will have added advantage.

Job Description

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualizations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L – Listen and be authentic, E – Energize and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.