Enterprise Data Analyst

This is a fully remote position, open to applicants in California, +14 more states.

📋 Description

• Analyze extensive, intricate datasets sourced from both clients and internal Firm resources to uncover trends, patterns, and actionable insights.

• Clean, transform, and structure data to guarantee accuracy, consistency, and readiness for analysis.

• Employ statistical and data-modeling techniques to address business inquiries and support decision-making processes.

• Utilize AI and generative-AI tools to expedite analysis, automate routine tasks, and enhance data products.

• Convert stakeholder inquiries into well-defined analytical problems, prioritizing tasks based on impact and urgency.

• Design, construct, and maintain Power BI dashboards that function as the Firm’s primary reporting tools for daily use.

• Create automated, self-service reports and visualizations in Power BI and Tableau, customized for diverse audiences across the Firm.

• Utilize data storytelling to present client-facing data and executive-level reports that effectively communicate findings to key partners, clients, and other internal and external stakeholders, driving action.

• Collaborate with the Data Science Information Design and Engineering team to provide data visualization and information-rich analyses across various media types.

• Streamline and standardize reporting processes to ensure the timely and accurate delivery of key metrics.

• Partner with the Data Engineering team to source, integrate, and validate data from across the Firm.

• Develop and implement data quality standards to ensure reliable and trustworthy outputs.

• Document data sources, definitions, and methodologies to support consistency and reuse.

• Maintain and enhance existing datasets, models, and reporting pipelines.

• Collaborate with teams across the Firm, including Finance and client-facing groups, to gather requirements and align on objectives.

• Work directly with internal stakeholders and, when appropriate, clients to understand their needs and deliver effective solutions.

• Connect analytical findings to business outcomes and Firm priorities.

• Share knowledge and best practices to enhance data and analytics capabilities throughout the Firm.

• Identify opportunities to automate, enhance, and scale analytics as the function expands.

• Contribute to the development of the Firm’s enterprise data and analytics capabilities over time.

• Develop and refine reporting and business intelligence techniques to keep the firm aligned with leading-edge information and business intelligence delivery.

• Engage in research and study to continuously enhance the Firm’s reporting and business intelligence.

⛳️ Requirements

• Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; equivalent professional and educational experience will also be considered.

• 3+ years of experience in data analysis, business intelligence, or a similar analytical role (the position may be filled at multiple levels; strong candidates earlier in their careers will also be considered).

• Advanced, demonstrable proficiency in Power BI is essential; including the ability to build, publish, and maintain production dashboards.

• Strong proficiency in Excel and SQL, with experience in querying and managing large, complex datasets.

• Familiarity with basic statistical and analytical tools, including the Python statistical ecosystem.

• Experience with data warehouses, databases, and modern BI/data platforms.

• Excellent data storytelling abilities, with a proven track record of designing clear and effective data visualizations and delivering client-facing presentations to partners, clients, and other internal and external stakeholders.

• Experience in statistical modeling, regression analysis, and null hypothesis significance testing.

• Proven capability to independently scope and lead complex data analysis projects.

• Experience in analyzing financial and operational performance metrics and the factors that drive them.

• Proficient 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, when 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 changing priorities.

• Strong attention to detail and the ability to maintain accuracy under pressure.

• Enthusiastic about contributing beyond assigned tasks and playing 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.