Enterprise Data Analyst

Role overview

Work arrangement

• May be filled remotely or in a hybrid capacity in Central or Eastern Time locations; strong candidates in Mountain Time may also be considered.

Responsibilities

• Analyze complex client and firm datasets to identify trends, patterns, and actionable insights; clean, transform, and structure data.
• Apply statistical and data-modeling techniques to answer business questions; use AI tools to accelerate analysis, automate routine tasks, and enhance data products.
• Translate stakeholder questions into analytical problems and prioritize work by impact and urgency.
• Design, build, and maintain Power BI dashboards and automated self-service reports and visualizations in Power BI and Tableau.
• Use data storytelling in client-facing presentations and executive reports to communicate findings and drive action.
• Collaborate with data science, information design, and engineering colleagues on visualizations and information-rich analyses.
• Streamline and standardize reporting for timely, accurate key metrics.
• Partner with data engineering to source, integrate, and validate data; establish quality standards and document sources, definitions, and methodologies.
• Maintain and enhance datasets, models, and reporting pipelines; partner with firm teams and clients to understand needs and deliver solutions.
• Share best practices, improve and scale analytics, and contribute to enterprise data and business intelligence capabilities.

Position requirements

• Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience also qualifies.
• At least 3 years in data analysis, business intelligence, or a related analytical role.
• Advanced, demonstrable Power BI proficiency, including building, publishing, and maintaining production dashboards.
• Strong proficiency in Excel and SQL.