Senior Data Analyst

Requirements

• The process of examining, organizing, and interpreting data to uncover patterns, trends, and insights that support business decision-making.
• The ability to write and execute structured queries using languages like SQL to retrieve, manipulate, and analyze data from databases.
• Creating clear and effective visual representations of data-such as charts, graphs, and dashboards-to communicate insights and support storytelling.
• The use of tools, systems, and practices to transform raw data into meaningful insights that inform strategic and operational decisions.
• Applying policies, standards, and practices to ensure data quality, integrity, security, and compliance across the organization.
• Designing logical and physical data structures that define how data is stored, related, and accessed within systems to support reporting and analytics.
• Developing recurring and ad hoc reports that summarize data findings and provide actionable insights to business stakeholders.
• The ability to logically evaluate data, identify relationships, and draw conclusions to solve problems and support decision-making.
• Understanding and prioritizing the needs of internal and external clients when developing data solutions and delivering insights.
• Assisting in the planning, coordination, and execution of data-related projects, ensuring timely delivery and alignment with business goals.
• Effectively sharing information and working with cross-functional teams to solve problems, align on goals, and deliver results.
• Identifying issues, analyzing root causes, and developing practical solutions using data and critical thinking.
• Understanding how to work with cloud-based data platforms and tools, including data storage, processing, and analytics capabilities.
• Provide technical and development guidance to junior staff to build team capability.
• Core Competencies
• All KeyBank employees are expected to demonstrate Key's Values and abide by Key's Code of Conduct.
• Physical Demands
• General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequ

Additional Information

Location: 4910 Tiedeman Road, Brooklyn Ohio Job Summary The Data & Business Intelligence Senior Associate plays a key role in supporting KeyBank's federated analytics model by enhancing the data experience across the enterprise. This role is responsible for maintaining and optimizing analytic data marts, ensuring data integrity, and supporting the development of trusted data assets. The Senior Associate will work cross-functionally with analytics, operations, and technology teams to solve business problems, improve data quality, and promote best practices in data usage. Essential Functions Maintain and enhance KeyBank's Google Cloud-based Analytics Marts, including Star Marts and Client Analytics Marts (CAM). Serve as a subject matter expert (SME) for assigned data domains and marts. Support enterprise data quality efforts, including testing, validation, and documentation. Analyze large and small datasets to identify trends, gaps, and opportunities for improvement. Collaborate onsite with operations and support teams to address tool functionality and capability gaps. Participate in user acceptance testing (UAT) to ensure high-quality releases and user experiences. Engage with the analytics community to promote data literacy, identify issues, and drive solutions. Translate business needs into technical requirements and provide consulting on data usage. Partner with the Data Literacy team to integrate data concepts with lineage, cataloging, and governance. Provide thought leadership on the evolution of enterprise analytics and data strategy. Support resolution of data incidents in collaboration onsite with LOB and technology partners. Mentor and coach junior team members on best practices and emerging tools. Ensure alignment of data solutions with KeyBank's technology roadmap and governance standards. 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, or cloud platforms (preferred) Familiarity with data governance, data cataloging, and data lineage tools (preferred)

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