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About the Role
The Senior Data Analyst works within the Insights, Data Engineering & Analytics organization to meet the bank's data pipeline strategies and objectives. This role guides and leads end-to-end processes, standards, and guidelines to ensure accurate and efficient data delivery for tasks and projects.
Responsibilities
- 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.
- Collaborate with teams across Business, Finance, and Risk to gather, prioritize, and document requirements for data products.
- Ensure solutions address a wide variety of use cases including financial forecasting, risk modeling, regulatory reporting, or operational optimization.
- 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 lead data profiling and data preparation by identifying gaps and qualifying data.
- Validate data by verifying against requirements and success criteria.
- Confirm understanding of requirements by modeling data with Entity Relationship diagrams and data flow diagrams.
- Lead 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.
- Create and manage the catalog and metadata of data-related objects.
- Guide integration across data sources and targets.
- Actively mentor other colleagues by contributing experience and insight to the team.
- Manage large programs & projects of significant complexity and risk.
- Independently develop and maintain trusted advisor relationships, including at the senior leadership level and with external partners, providing guidance for optimizing the use of analytic capabilities and deliverables, and prioritization based on strategic vision.
Requirements
- Bachelor's Degree or equivalent.
- 6+ years of relevant experience in data analysis or analytics in the banking industry.
- 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.
Skills
- Data analysis
- Analytics
- Data pipeline strategies
- Data delivery
- Requirements definition
- Activity mapping
- Solution design
- Data product development
- Governance
- Intake processes
- Prioritization processes
- Data integration
- Regulatory standards
- Internal controls
- Financial forecasting
- Risk modeling
- Regulatory reporting
- Operational optimization
- Data discovery
- Data exploration
- Data investigation
- Impact assessments
- Data flows
- Data profiling
- Data preparation
- Data validation
- Entity Relationship diagrams
- Data flow diagrams
- Business process research
- Quality measurement
- Benchmarking
- Goal setting
- Performance measurement analysis
- Data source identification
- Data mapping
- Catalog management
- Metadata management
- Data source integration
- Mentoring
- Program management
- Project management
- Advanced analytics
- AI/ML
- Data systems
- Modern data platforms
- Snowflake
- Analytics tools
Location
- City National location
Work Type
- Onsite
Experience Level
- Senior
- 6+ years
Education Level
- Bachelor's Degree or equivalent
Salary/Compensations
- $95,000 - $155,000 per year
- Eligible for bonus and/or commissions
Benefits
- Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date.
- Generous 401(k) company matching contribution.
- Career Development through Tuition Reimbursement and other internal upskilling and training resources.
- Valued Time Away benefits including vacation, sick and volunteer time.
- Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs.
- Career Mobility support from a dedicated recruitment team.
- Colleague Resource Groups to support networking and community engagement.
About the Company
- City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today.
- City National is a subsidiary of Royal Bank of Canada, one of North America’s leading diversified financial services companies.
Equal Opportunity
- City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer.
- We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law.
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.