Lead Data Analyst – Enterprise Data & Analytics (US Reg Reporting Remediation)

Silicon Valley Bank; Karnataka; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Inclusive hiring process

Equal Employment Opportunity Employer

Job summary

Silicon Valley Bank is looking for a Lead Data Analyst to join its Enterprise Data & Analytics team in Bangalore. This hybrid role focuses on enhancing data infrastructure, optimizing data pipelines, and ensuring compliance with regulatory reporting needs.

The ideal candidate should have 8-10 years of experience in data management, data quality, and governance, particularly within financial services. Proficiency in SQL, cloud platforms like Snowflake, and strong analytical skills are essential for success.

Qualifications

• 8–10+ years of experience in data management, data quality, data remediation.
• Experience in regulatory reporting for banking.
• Strong understanding of Finance and Regulatory Reporting data needs.

Responsibilities

• Collaborate with Regulatory Reporting teams to gather business requirements.
• Participate in Agile ceremonies to align on pod goals.
• Act as a liaison between teams to translate business needs.
• Support the implementation of data quality rules.
• Assist in defining acceptance criteria for data-related user stories.

Skills

Data Quality

Data Remediation

Database Connectivity

SQL Server

Python

Cloud Data Platforms

Data Visualization

Relationship Management

Education

Bachelor’s or master’s degree in engineering, finance, computer science

Tools

Collibra

Snowflake

AWS

Power BI

Tableau

Job description

Job Details

Position Title: Lead Data Analyst – Enterprise Data & Analytics
Career Level: P3
Job Category: Manager
Role Type: Hybrid
Job Location: Bangalore

Job Description

Value Proposition: Shaping the Future of Enterprise Data & Analytics. Contribute to the evolution of data culture by building and enhancing data infrastructure, reporting frameworks, optimizing data pipelines, Data remediation for Regulatory Reporting needs and mentoring teams on data storytelling and visualization best practices with advanced data technologies and experience.

About the Team

This role will join an Agile pod to support the data environment that enables Regulatory Reporting teams to file complete and accurate Y-14 regulatory reports. This role focuses on bridging business needs and technical solutions by gathering requirements, analyzing data processes, and ensuring the data environment aligns with data governance and regulatory compliance objectives. Working collaboratively with cross-functional pod members, the Business Analyst will drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment.

Impact

This role requires a strong experience in Data Remediation for reg reporting with mix of data expertise, relationship-building, operational rigor, and the ability to partner across global teams. This role will work closely with Finance, Regulatory Reporting, Data Governance, Technology, Architecture, and Operations to identify data challenges, prioritize remediation initiatives, and advance the bank’s data maturity.

Key Deliverables

• Requirements Gathering – Collaborate with Regulatory Reporting teams, and stakeholders to elicit, document, and prioritize business requirements for the FR Y-14.
• Agile Collaboration – Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to align on pod goals, refine user stories, and deliver incremental improvements.
• Stakeholder Communication – Act as a liaison between Regulatory Reporting teams, data engineers, and developers to translate business needs into actionable technical requirements.
• Data Quality & Governance – Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements.
• Testing & Validation – Assist in defining acceptance criteria for data-related user stories and support testing to ensure the data environment meets regulatory and business needs.
• Documentation – Create and maintain clear documentation, requirements specifications, and user guides, as well as source-to-target mapping and metadata documentation in Collibra, to support regulatory audits and team workflows.
• Regulatory Edit Checks – Understand Regulatory Edit Checks and other data quality controls and work with stakeholders to strengthen the risk and control environment.
• Root Cause Analysis – Conduct thorough root cause analysis of data gaps and data quality issues and formulate the resulting remediation initiatives.
• Regulatory Responses – Formulate responses to Regulatory Edit Checks and other inquiries that result from FR Y-14Q filings.

Functional Skills

• Data Quality, Controls & Remediation – Data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting; strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management; identify data breakages, root causes, and impactful remediation pathways.
• Finance & Regulatory Reporting Enablement – Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs); ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams; collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements.
• Data Governance & Standards – Follow enterprise data governance policies, standards, and controls across critical data domains; partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards; drive adoption of governance frameworks and champion data stewardship.
• Stakeholder Engagement & Relationship Management – Build and sustain strong working relationships with across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations; ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels.
• Strategic Data Migration & Modernization – Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams; ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience; drive adoption of modern data tools and capabilities across enterprise teams.

Technical Skills

• Hands on experience in database connectivity, SQL Server / Dev, Oracle, Snowflake, Netezza, both on-prem and in cloud, and familiarity with ETL and data virtualization tools.
• Experience in data governance tools like Collibra or similar.
• 8 to 10+ years of experience in data management, data quality, data remediation, data governance, preferably within banking or financial services.
• Prior banking experience in large financial institutions and experience supporting regulatory reporting functions is strongly preferred.
• Strong understanding of Finance and Regulatory Reporting data needs.
• Experience working with enterprise data quality tools, frameworks, and control processes.
• Proven ability to collaborate effectively with global teams across Finance, Regulatory Reporting, Technology, and Governance.
• Experience with cloud data platforms (Snowflake, AWS, Azure).
• Exposure to data lineage tools, metadata management platforms, and data quality monitoring solutions.
• Good knowledge or experience in Python, AI / ML, Data visualization tools like Power BI, Tableau.

Qualifications

• Bachelor’s or master’s degree in engineering, data, engineering, finance, computer science, or related field.
• 8–10+ years of experience in data management, data quality, data remediation, and data governance.
• Prior banking experience in large financial institutions supporting regulatory reporting functions.
• Strong understanding of Finance and Regulatory Reporting data needs.
• Experience with cloud data platforms (Snowflake, AWS, Azure).
• Experience with data lineage tools, metadata management platforms, and data quality monitoring solutions.
• Good knowledge or experience in Python, AI/ML, and data visualization tools such as Power BI, Tableau.
• Experience with enterprise data quality tools, frameworks, and control processes.

Reporting to

Reports to: AD/Director / Enterprise Data Leadership. Partners: Operational Teams, Data Stewards, Senior leaders and cross-functional teams.

Accessibility Needs

We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

Equal Employment Opportunity

FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.