Commercial Analytics Senior Associate

KeyBank•Cleveland, OH

2d•$79,000 - $146,000•Hybrid

About The Position

KeyBank is looking for a talented, analytical, energetic, and results-driven professional to join the Commercial Analytics organization as a Senior Associate. The Commercial Analytics team aims to bring industry expertise and an analytical mindset in an integrated package to our line of business partners, both to drive immediate value and to build a data-drive analytical culture for other teams to emulate. The Senior Business Analytics Associate uses cutting edge tools and best-in-class technical skills to provide in-depth analytical support to line of business strategies and initiatives, helping Key make better and more informed decisions. By executing complex analyses, mapping out processes, and building insightful data visualizations, the Senior Business Analytics Associate identifies performance trends and outliers and suggests solutions to resolve business challenges or implement improvements. The associate will engage directly with executive leadership of business units, technology, operations, and finance and effectively communicate with all stakeholders. Success criteria include: leveraging business acumen, critical thinking, industry knowledge, ability to spot trends, and anticipation of business needs to inform analyses and recommendations. If you are a creative, resourceful, fast-moving, and data-driven individual who embraces an opportunity to learn and grow, this could be the ideal role for you.

Requirements

Bachelor’s degree in business, finance, MIS, analytics/data science, engineering, or related field or equivalent industry experience
Minimum 5 years of relevant industry experience, banking industry preferred
Passionate about problem solving and data
Possess a love of identifying trends and insights
Advanced proficiency with: Query writing/coding: Strong database querying experience with ability to write complex SQL statements across data containing complex relationships. Proven experience with SAS, Tableau, Python and/or other data analysis and report writing tools (R, Cognos). Ability to navigate data warehouse and/or data supply chain
Data visualization
Microsoft Excel / PowerPoint
Knowledge of process flow design and automation
Have a strong bias for action and quick iteration as opposed to perfection
Skills Technical Proficiency- Advanced skills in tools such as SQL, Python, R, SAS, Tableau, Excel, and Google Cloud for data manipulation and analysis.
Data Visualization- Expertise in creating compelling dashboards and visual stories that highlight key insights and support business decisions.
Communication- Delivers clear, persuasive communication tailored to stakeholders; proactively shares relevant information and excels in high-stakes or conflict-driven conversations.
Mentorship and Leadership-Experience in reviewing work, mentoring junior analysts, and contributing to a collaborative team environment.
Partnering & Influencing- Builds strong relationships and collaborates effectively; consults with mid-level leaders to resolve key issues and influence outcomes.
Business Acumen- Leverages deep banking and financial insight to drive data-informed strategies aligned with business goals and market dynamics
Critical Thinking & Problem Solving- Applies structured thinking to complex problems; anticipates risks, integrates cross-functional perspectives, identify trends, and vets solutions thoroughly.
Results Focus- Consistently meets goals and holds self and others accountable; maintains focus on priorities and escalates challenges when needed.

Nice To Haves

Master’s degree or equivalent work experience preferred
Solid understanding of Banking industry and key drivers of financial results (preferred)
Experience in an Agile development environment a plus

Responsibilities

Independently deliver moderate to more complex analyses and reports
Work with large datasets – using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud – to solve business problems
Analyze and resolve anomalies discovered when using quantitative tools and techniques
Lead conversations with business partners
Effectively communicate key points to respective stakeholders
Develop and deliver presentations, tools and visualizations that include the right data and “tell the right story” to business partners
Identify and anticipate business needs and understand how to obtain information
Review work product of junior staff
Provide input, direction, and mentorship
Manage integration/coordination of activities typically within own team
Ensure solutions are appropriately documented.
Create procedures/processes to ensure ongoing testing/validation of solutions