Enterprise Data Analyst

Husch Blackwell

Analyzing complex datasets to derive actionable insights for Husch Blackwell's business units. Collaborating on data visualization and reporting across multiple teams.

Posted 7/25/2026full-timeRemote • California, Colorado, Illinois, Maine, Maryland, Massachusetts, Montana, New Jersey, New York, Tennessee, Texas, Vermont, Virginia, Washington, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $79,000 - $237,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Power BI and SQL for data analysis and visualization, with strong capabilities in data storytelling and statistical modeling. Proven ability to translate complex data into actionable insights while maintaining data quality and collaborating with diverse stakeholders.

Highest-signal resume keywords

Advanced Proficiency In Power BIStrong Proficiency In SQLData Storytelling SkillsStatistical Modeling ExperienceData Quality Standards Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical TechniquesData VisualizationRegression AnalysisData CleaningData TransformationData IntegrationData WarehousingBusiness IntelligenceAutomated Reporting

Soft Skills

Client-Service MindsetAttention To DetailProactive CommunicationCollaborationAdaptability

Tools & Technologies

Power BITableauExcelPython Statistical EcosystemData Warehouses

Industry Keywords

Data AnalysisBusiness IntelligenceData Quality StandardsData ConfidentialityFinancial Performance Metrics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

medical and dental coverage
life insurance
short-term and long-term disability insurance
pre-tax flexible spending account for certain medical and dependent care expenses
an employee assistance program
Paid Time Off
paid holidays
participation in a retirement plan program after meeting eligibility requirements
more