Location:
4910 Tiedeman Road, Brooklyn Ohio
Job Summary
The Data & Business Intelligence Senior Associate enables informed business decisions by translating data into meaningful insights that drive operational efficiency, risk management, and growth within the Wealth organization at KeyBank. This role partners closely with business leaders, analytics teams, and technology partners to identify opportunities, address performance gaps, and support enterprise priorities through highquality data, analysis, and reporting. The Senior Associate ensures data reliability and consistency by supporting enterprise data quality standards and contributes to the evolution of analytics and AI capabilities that improve how the organization uses information. Through clear communication, impactful storytelling, and effective coordination of work within the team, this role helps deliver trusted, actionable insights while providing guidance and mentorship to junior team members.
Essential Functions
Analysis and Reporting:
- Independently delivers moderate to more complex analyses and reports that inform Wealth strategy, performance management, and client insights.
- Works with large and diverse datasets - using standard tools such as Python, SQL, and Google Cloud Platform - to solve business problems.
- Identifies anomalies, trends, gaps, and opportunities for improvement to ensure accuracy and consistency of outputs.
- Evaluates data, identify relationships, and draw conclusions to solve problems and support decision-making.
Data Strategy, Technology Enablement, and AI:
- Supports the development and enhancement of trusted data assets and analytic marts used by the Wealth organization.
- Contributes to enterprise data quality efforts, including testing, validation, and documentation.
- Partners with technology teams and subject-matter experts to improve scalability, sustainability, and performance of data solutions.
- Provides thought leadership on the evolution of enterprise analytics, data strategy, and responsible utilization of AI capabilities.
Communication:
- Builds strong relationships and leads conversations with business partners.
- Translates business needs into technical requirements and provides consulting on data usage.
- Develops and delivers presentations, tools, and visualizations that communicate insights clearly and accurately.
- Communicates insights and recommendations with the appropriate level of detail tailored to audience.
Project and Team Management:
- Partners with Wealth leaders to understand current and anticipated business needs; proactively identifies opportunities for insight generation.
- Utilizes agile development practices, including iterative development and continuous feedback loops.
- Drives the execution of initiatives by coordinating crossfunctional inputs, manages deliverables and dependencies, and ensures work is aligned to business priorities.
- Reviews work product of junior staff; Provides input, direction, and mentorship.
- Consistently meets goals and holds self and others accountable; maintains focus on priorities and escalates challenges when needed.
Other:
- Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice.
- Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key's clients and Key.
Education
- Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field (preferred)
- Master's Degree or equivalent experience (preferred)
Work Experience
- 5+ years of experience in data analytics, business intelligence, or data product management. (preferred)
- Proficient in working with Google Cloud Platforms (preferred)
- Experience with enterprise data environments and federated analytics models (preferred)
Licenses and Certifications
- Training or certification in SQL, Python, Tableau, PowerBI, BigQuery, or other tools in Google Cloud Platform (preferred)
- Familiarity with data governance, data cataloging, and data lineage tools (preferred)
Skills
- Translate complex technical topics into business-friendly language.
- Create process flow diagrams to map out business and technical processes.
- Create mock-ups and wireframes to help refine requirements.
- Utilize advanced skills in SQL to retrieve, manipulate, and analyze data from databases.
- Design and develop dimensional data models that are a 'single source of truth' for analytics, reporting, and AI use cases.
- Develop automated data pipelines and validation to maintain foundational data assets.
- Create clear and effective visual representations of data-such as charts, graphs, and dashboards-to communicate insights and support storytelling.
- Define and document business definitions, lineage,