Enterprise Data Analyst

Husch Blackwell LLP is a full-service litigation and business law firm serving clients with domestic and international operations. The Enterprise Data Analyst transforms firm and client data into actionable insights through Power BI dashboards, reports, statistical analysis, and data storytelling. The role also partners with stakeholders and data engineering teams to improve data quality, reporting, and enterprise analytics capabilities.

Responsibilities:

• 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 the firm with leading edge information and business intelligence delivery
• Engage in research and study to continuously improve the Firm’s reporting and business intelligence

Requirements:

• Bachelor's degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
• 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
• Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
• Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
• Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
• Experience working with data warehouses, databases, and modern BI/data platforms
• Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
• Experience with statistical modeling, regression analysis, and null hypothesis significance testing
• Proven ability to independently scope and lead complex data analysis projects
• Experience analyzing financial and operational performance metrics and the drivers behind them
• Fluent in translating complex data into clear implications and actionable recommendations for the business
• Comfortable working with large, complex datasets and developing data quality standards
• Experience working directly with senior stakeholders and, where appropriate, clients
• Operates with a client-service mindset; responsive, proactive, and a trusted advisor
• Comfortable working at both strategic and tactical levels
• Thrives in fast-paced environments with shifting priorities
• Strong attention to detail and ability to maintain accuracy under pressure
• Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
• Understanding of data confidentiality and the sensitivity of legal and client information
• Experience supporting multiple business units or functions in a shared-services or enterprise environment
• Experience with data pipeline or ETL processes and working alongside data engineers
• Experience applying AI and generative-AI tools to accelerate and enhance analytics
• Familiarity and comfort with executive level communication and presentations