KeyBank

Senior Associate, Commercial Analytics

KeyBank

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York, Ohio

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Salary

💰 $79,000 - $120,000 per year

Job Level

Senior

Tech Stack

CloudCognosHadoopPythonSQLTableau

About the role

  • 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

Requirements

  • Bachelor's degree in business, finance, MIS, analytics/data science, engineering, or related field or equivalent industry experience; Master’s degree or equivalent work experience preferred
  • Minimum 5 years of relevant industry experience, banking industry preferred
  • Solid understanding of Banking industry and key drivers of financial results (preferred)
  • Passionate about problem solving and data; Possess a love of identifying trends and insights
  • Advanced proficiency with: SQL, 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
  • Experience in an Agile development environment a plus
  • 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.
  • Agile Methodology- Familiarity with Agile development practices, including iterative development and continuous feedback loops.