Enterprise Data Analyst II - Data & Analytics

WesBanco Bank, Inc.•Wheeling, WV

About The Position

The Enterprise Data Analyst II operates with increased independence and contributes to enterprise data products, reusable dashboards, and process-enhancing analytics. They play a critical role in shaping repeatable analyses, partnering with business teams, and ensuring analytic work adheres to platform standards. This role bridges business understanding with technical rigor and is a core contributor to the agency’s internal decision support systems.

Requirements

Banking is a highly regulated industry and you will be expected to acquire and maintain a proficiency in the Bank's policies and procedures, and adhere to all laws, rules and regulations that are applicable to your conduct and the work you will be performing. You will also be expected to complete all assigned compliance training in a timely manner.
Proven experience with SQL and visualization platforms (e.g., Tableau, Qlik, Power BI), required.
Comfort working independently and managing multiple tasks.
Confident communicator with attention to context.
Bachelor’s degree or equivalent combination of education and experience, required.
Minimum two years in analytics or Business Intelligence, required

Nice To Haves

Degree in data analytics, business, economics, or related field, preferred.

Responsibilities

Translates structured business needs into exploratory and descriptive analyses.
Builds dashboards and visualizations that monitor performance or operational health.
Collaborates with stakeholders to refine metric definitions and ensure clarity.
Highlights trends or deviations that support proactive action.
Develops workflows to join, filter, and clean complex datasets.
Uses SQL, Python, R, and BI tools for robust data exploration and trend identification.
Designs scalable dashboards with appropriate filtering, interactivity, and performance.
Ensures documentation supports peer review and reuse.
Supports Enterprise Data Analyst I onboarding and quality review.
Shares reusable SQL snippets, dashboard templates, or analytic frameworks.
Co-creates shared workflows with Enterprise Data & Analytics teammates.
Participates in tool reviews and internal standards development.
Works across multiple platforms and contributes to analytic product stability.
Applies version control and clear logic in analytic development.
Surfaces data quality concerns and participates in remediation with stewards.
Aligns data usage with platform evolution and trusted sources.
Applies ethical principles to how visualizations are framed and shared.
Flags risks of misinterpretation and ensures disclaimers or context are present.
Upholds agency policies on data usage, access, and confidentiality.