Remote Enterprise Data Analyst: Power BI & Insights

Husch Blackwell

Providence (RI)

Hybrid

Confidential

Full time

14 days+
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Benefits offered by this job

Remote/hybrid flexibility
Professional development opportunities

Job summary

Husch Blackwell LLP seeks an Enterprise Data Analyst to turn firm and client data into clear insights through Power BI dashboards and reports. You will support a core business unit with potential expansion to other groups, delivering data storytelling that drives action for partners and clients.

The role emphasizes analytical rigor, collaboration with Data Science and Engineering, and the ability to automate and scale analytics in a dynamic, law-firm environment.

Qualifications

  • Bachelor’s degree in a quantitative field or equivalent experience.
  • 3+ years in data analysis or BI roles.
  • Advanced Power BI proficiency including production dashboards.
  • Strong Excel and SQL skills with large datasets.
  • Experience with Python and statistical tools; data warehouses is a plus.

Responsibilities

  • Analyze large datasets to identify trends and actionable insights.
  • Design and maintain Power BI dashboards and reports for stakeholders.
  • Partner with Data Engineering to source and validate data; ensure quality.
  • Collaborate with cross-functional teams and translate findings for clients.
  • Drive continuous improvement and scale analytics across the firm.

Skills

Power BI
SQL
Excel
Python
Data storytelling
Tableau
Data visualization
Data quality
Data warehouses
Stakeholder management

Education

Bachelor's degree in statistics, economics, CS, information design, or related quant

Tools

Tableau
SQL
Excel

Job description

Husch Blackwell LLP seeks an Enterprise Data Analyst to turn firm and client data into clear insights through Power BI dashboards and reports. You will support a core business unit with potential expansion to other groups, delivering data storytelling that drives action for partners and clients.

The role emphasizes analytical rigor, collaboration with Data Science and Engineering, and the ability to automate and scale analytics in a dynamic, law-firm environment.

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