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Job Details

Key Bank

Senior Data Product Analyst

Banking, Mortgage, Investment

Product Analyst


Cleveland, Ohio, United States

Background The landscape of banking and financial services continues to evolve each decade. With banks, financial institutions, and financial technology companies continuing to advance their data and analytics talent, tools and capabilities, KeyBank recognizes the need to invest in data and analytics to effectively compete in the market. Key is committed to building a best-in-class data and analytics organization by investing heavily in talent, tools, and analytical capabilities to accelerate growth. In 2021-22 significant advancements were made by bringing in talent from the industry and building a strong foundation for this organization. The Data Product team with Data and Decisions department is a critical part of that journey. About the Job Data Product team is responsible for working closely with the business and technology to deliver data solutions that are of highest value to the bank and business. The data product team operate in an agile environment. The team work closely with business partners to perform due diligence on their state of data and analytics, prioritize the top opportunities, gather, and define requirements, design solutions, make recommendations, and deliver high value data solutions. This team is looking for a highly motivated, business & technology-focused, and results oriented data and analytics senior analyst to join the Data Product team. Reporting directly to a Data Product manager within the Data Product team, senior data analyst is responsible for creating data requirements, developing data solutions, reviewing data architecture needs and performing analysis to deliver high priority data solutions to business partners. This role will partner closely with the business and technology partners and operate in an agile environment. The senior data product analyst will be tasked with developing a strong understating of the data needs of the business and the financial /payment data. They will be expected to create solutions, develop requirements, develop code, deliver data solutions and review the data work (review codes, data outputs, business application) to ensure high quality, correct data is delivered. They will also be responsible for providing updates to the teams. Essential Job Functions Support with the Data Product team and the business partners to conduct due diligence or assessment of current state of data and analytics needs. Working with business partner teams to translate their business problems and translate them into data requirements. Design data solutions to meet the business needs and priorities of the business. Gather data requirements and document data needs as part of solution development spanning from operational to adhoc, analytical and strategic data needs Review the data work for accuracy and optimization Leverage best data and analytical methodologies to develop the data solutions Work with the rest of Data Product team and Data and Decisions team, and line-of-business teams to identify high value-add analytics use cases including data-triggered client experiences, performance monitoring, consumable data product, analytics/reporting driven data needs, new data pipelines needed, and more Support development of solutions and recommendations and creation of artifacts to document them Support the partnership with Technology and internally within Data & Decisions to develop solution architecture allowing the solutioning of data needs Develop reports and artifacts as needed for Data Strategy for part of the product/project Prepare and distribute documents related to program activities to ensure projects maintain data scope Provide updates to Data Product leadership team Work with other data product analysts and engineers within the team to support prioritized initiatives Work with product analysts to document data needs – work with partners to create prioritization documents Qualifications Master’s degree (or its equivalent) in Data Analytics, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) with more than 3 years of relevant experience; or bachelor’s degree (or its equivalent) with >4-5 years of relevant experience Strong technical capability in some of the coding languages to be hands-on if needed and able to provide guidance to the team on best coding practices, code optimization, data review for correctness, and design data solutions. Training or experience in some or all of data/coding languages/tools like SQL, Python, SAS, Tableau, Power BI or others Strong data or analytics background Ability to apply critical thinking and problem-solving skills in all phases of product initiative life cycle from inception through implementation and beyond. Experience analyzing complex data to support development of clear narratives and presentations Experience working in large data environments Experience working with financial services data or related data Ability to operate in agile environment and deliver Ability to understand the business needs and translate them into data needs and solutions Business acumen – able to offer an additive perspective to partners as it defines and executes business strategies Strong written and verbal communication skills for interacting with partners Courageous and curious – not afraid to express concerns in discussions and always curious to learn new methods and tools Ability to effectively adapt work style for both independent and collaborative work initiatives Results oriented – develops knowledge of Key or learns Key and how to navigate the organization to get things done Smart, resilient, execution focused team member that works with the business priorities in mind Flexible to evolve as partner priorities shift and align with leadership team within business as well as data product teams