Enterprise Data Analyst

Job Description:

• 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:

• 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:

• 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