Enterprise Data Analyst

Data AnalystData AnalystFull TimeRemoteSeniorTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

California + 14 moreAll locations: California | Colorado | Illinois | Maine | New Jersey | New York | Maryland | Massachusetts | Missouri | Tennessee | Texas | Vermont | Virginia | Washington | Wisconsin

Posted

11 days ago

Salary

$79K - $237K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishPythonSQLTableau

Job Description

Enterprise Data Analyst

Husch Blackwell

• 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.

Job 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

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