Senior Data Analyst

SENIOR DATA ANALYSTWHAT IS THE OPPORTUNITY?

The Senior Data Analyst works within the Insights, Data Engineering & Analytics organization to meet the data pipeline strategies and objectives across the bank. The Senior Data Analyst will guide and lead end-to-end process, standards, and guidelines to ensure accurate and efficient data delivery of tasks and projects.

WHAT WILL YOU DO?

Collaborate with teams across Business, Finance, and Risk to gather, prioritize, and document requirements for data products. Ensure solutions address wide variety of use cases inlcuding but not limited to financial forecasting, risk modeling, regulatory reporting, or operational optimization.

Apply advanced analytics, AI, and automation farmeworks to build robust data products. Conduct research on industry trends and emerging technologies to ensure solutions remain innovative and competitive. Create and manage the catalog and metadata of data related objects

Lead full lifecycle analysis, including requirements definition, activity mapping, and solution design.

Participate in the design, development, and deployment of data products from ideation to launch. Manage governance, intake, and prioritization processes.

Partner with IT and business units to seamlessly integrate data products into existing systems, ensuring alignment with regulatory standards  and internal controls.

Lead data analysis via data discovery, exploration, investigation, and impact assessments. Apply best practices and illustrate understanding via data flows of systems and processes.

Conduct and leads data profiling and data preparation by identifying gaps and qualifying data.

Validates data by verifying against requirements and success criteria.

Confirms understanding of requirements by modeling data with Entity Relationship diagrams and data flow diagrams

Leads understanding by researching business processes and documenting inconsistent and incomplete data, value misinterpretations and misclassified data.

Lead development/quality measurement, benchmarking and goal setting, performance measurement analysis

Identify the appropriate data sources and map the data from source to target

Guide integration across data sources and targets

Perform one or more of the following:

Actively mentor other colleagues by contributing experience and insight to the team Manage large programs & projects of significant complexity and risk.

Independently (with minimal oversight) develop and maintain trusted advisor relationships, including at the senior leadership level and with external partners, that include guidance, as appropriate, for optimizing use of analytic capabilities and deliverables, and prioritization based on strategic visionWHAT DO YOU NEED TO SUCCEED?

Required Qualifications
* Bachelor's Degree or equivalent6+ years of relevant experience in data analysis or analytics in the banking industry

Additional Qualifications Demonstrated ability to manage multiple data product initiatives and drive deliverables in complex, cross-functional environments.

Experience with data product development, advanced analytics, or AI/ML in enterprise settings, with a strong understanding of data systems.

Skilled at translating technical data concepts into business outcomes.

Ability to bridge business needs with technical solutions, aligning data products to solve specific problems for Finance, Risk, and other teams.

Strong focus on building actionable, scalable data products with a user-centric approach.

Experience with modern data platforms (e.g., Snowflake) and analytics tools preferred.

Strong data product and analytics mindset

Snowflake experience preferred

Experience with data product development, advanced analytics, or AI/ML in enterprise settings, with a strong understanding of data…