Enterprise Data Analyst

Austin-based Enterprise Data Analyst role in the firmwide Data Science shared-services function, turning client and internal data into actionable reporting and insights.

Responsibilities

• Analyze large, complex datasets from client and internal Firm sources to uncover trends, patterns, and actionable insights
• Clean, transform, and structure data to support accuracy, consistency, and analysis readiness
• Use statistical and data-modeling techniques to address business questions and inform decisions
• Leverage AI and generative-AI tools to speed up analysis, automate routine tasks, and improve data products
• Convert stakeholder questions into clearly defined analytical problems, prioritizing by impact and urgency
• Design, build, and maintain Power BI dashboards as core everyday reporting tools
• Create automated, self-service reports and visualizations in Power BI and Tableau for different Firm audiences
• Apply data storytelling to deliver client-facing presentations and executive-level reports that drive action
• Partner with the Data Science Information Design and Engineering function for information-rich analyses across multiple media types
• Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics
• Collaborate with Data Engineering to source, integrate, and validate Firm data
• Develop and apply data quality standards to maintain reliable and trustworthy outputs
• Document data sources, definitions, and methodologies for consistency and reuse
• Maintain and enhance datasets, models, and reporting pipelines over time
• Work across the Firm, including Finance and client-facing groups, to gather requirements and align on objectives
• Connect analytical findings to business outcomes and Firm priorities
• Share knowledge and best practices to strengthen data and analytics capabilities across the Firm
• Identify opportunities to automate, improve, and scale analytics as the function expands
• Contribute to building enterprise data and analytics capabilities over time
• Research and study to continually improve reporting and business intelligence delivery

Requirements

• Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field (or commensurate professional and educational experience)
• 3+ years of experience 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, including querying and working with large, complex datasets
• Proficiency with basic statistical and analytical tools, including the Python statistical ecosystem
• Experience with data warehouses, databases, and modern BI/data platforms
• Strong data storytelling skills, including clear visualization design and client-facing presentation experience
• 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 drivers
• Ability to translate complex data into clear implications and actionable recommendations
• Comfort working with large, complex datasets and developing data quality standards
• Experience working directly with senior stakeholders and, where appropriate, clients
• Client-service mindset with responsiveness, proactive follow-through, and trusted-advisor behavior
• Comfort working across strategic and tactical levels
• Ability to thrive in fast-paced environments with shifting priorities; strong attention to detail and accuracy under pressure
• Eagerness to contribute beyond assigned tasks and support growth of a firmwide analytics function
• Understanding of data confidentiality and the sensitivity of legal and client information

Technologies

• Power BI
• Tableau
• AI
• generative-AI
• Excel
• SQL
• Python
• data warehouses
• databases

Benefits

• 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
• Employee assistance program
• Paid Time Off
• Paid holidays
• Participation in a retirement plan program after meeting eligibility requirements
• More

Preferred Qualifications

• 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

Location: Austin, TX (hybrid)

Compensation: USD 105,000 - 237,000 per yearly