Enterprise Data Analyst
Listed on 2026-07-27
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager
Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.
At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.
Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position.
This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.
The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time.
The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:
- Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
- Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
- Apply statistical and data-modeling techniques to answer business questions and support decision-making
- Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
- Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency
- Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
- Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
- Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
- Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
- Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics
- Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
- Develop and apply data quality standards to ensure reliable, trustworthy outputs
- Document data sources, definitions, and methodologies to support consistency and reuse
- Maintain and enhance existing datasets, models, and reporting pipelines
- Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
- Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
- Connect analytical findings to business outcomes and Firm priorities
- Share knowledge and best practices to elevate data and analytics capabilities across the Firm
- Identify opportunities to automate, improve, and scale analytics as the function grows
- Contribute to building out the Firm’s enterprise data and analytics capabilities over time
- Develop and improve reporting and business intelligence techniques to align…
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