Remote Enterprise Data Storyteller | Power BI & AI

Husch Blackwell LLP

Providence (RI)

Hybrid

USD 120,000 - 237,000

Full time

8 days ago

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Job summary

Husch Blackwell LLP is seeking an Enterprise Data Analyst to turn firm and client data into clear, actionable insights with Power BI dashboards. You will support a key business unit initially and expand to others, translating complex data into actionable recommendations for senior stakeholders.

The role emphasizes data visualization, collaboration with engineers and business partners, and building scalable analytics across the firm in a hybrid/remote setup.

Qualifications

  • Bachelor’s degree in statistics, economics, computer science, information design, or related field.
  • 3+ years in data analysis, business intelligence, or related analytical role.
  • Advanced proficiency in Power BI, including dashboards and publishing.
  • Strong Excel and SQL skills for large datasets.
  • Proficiency with Python statistical tools and data warehousing experience.
  • Data storytelling skills and ability to present to partners and clients.
  • Experience applying AI/generative AI to analytics workflows.

Responsibilities

  • Analyze large, complex datasets to identify trends and insights.
  • Design, build, and maintain Power BI dashboards and reports.
  • Collaborate with Data Engineering and Data Science teams on data products.
  • Translate business questions into analytical problems with impact focus.
  • Develop automated, self-serve visuals for varied audiences.

Skills

Power BI proficiency
SQL
Excel
Data storytelling
Stakeholder communication
Python (statistics)

Tools

Power BI
Tableau
SQL

Job description

Husch Blackwell LLP is seeking an Enterprise Data Analyst to turn firm and client data into clear, actionable insights with Power BI dashboards. You will support a key business unit initially and expand to others, translating complex data into actionable recommendations for senior stakeholders.

The role emphasizes data visualization, collaboration with engineers and business partners, and building scalable analytics across the firm in a hybrid/remote setup.

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