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Enterprise Data Analyst Jobs (NOW HIRING)

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop enterprise data models, automate reporting processes, and deliver executive dashboards that provide ...

We're looking for a highly motivated Enterprise Data Analyst who enjoys building modern data solutions that drive strategic business decisions. This is a hands-on role for someone who thrives on ...

Enterprise Data Analyst

Austin, TX · On-site

$100 - $140/hr

The Enterprise Data Analyst is a firmwide shared‑services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

New

Senior Enterprise Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

Senior Enterprise Data Analyst Contract Length: 12+ months Location: Dallas, Texas (hybrid 3 days onsite) ****LOCAL CANDIDATES ONLY** *NO 3RD PARTY Vendors We're partnering with a client seeking a ...

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

As part of our growing Data & Analytics team, you'll design scalable data pipelines, develop enterprise data models, automate reporting processes, and deliver executive dashboards that provide ...

Enterprise Data Analyst

Mclean, VA · Hybrid

$79K - $138K/yr

Overview PenFed is hiring a (Hybrid) Enterprise Data Analyst at our Tysons, Virginia or San Antonio, Texas location. The primary responsibility will be to collect, analyze and interpret data across ...

Showing results 41-60

Enterprise Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do enterprise data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for enterprise data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an enterprise data analyst?

An Enterprise Data Analyst is a professional who collects, processes, and analyzes large datasets within an organization to provide insights that support business decisions. They work across departments to identify trends, create reports, and ensure data quality and integrity. Enterprise Data Analysts often use advanced analytical tools and collaborate with stakeholders to develop strategies based on data-driven findings. Their work helps organizations optimize operations, identify opportunities, and address challenges through informed decision-making.

How does an enterprise data analyst typically collaborate with cross-functional teams within an organization?

Enterprise Data Analysts often work closely with teams such as IT, business operations, and executive leadership to gather requirements, understand business objectives, and deliver actionable insights. They frequently participate in cross-departmental meetings to translate data findings into strategic recommendations. Collaboration is key, as analysts must communicate complex data concepts in an accessible way to non-technical stakeholders, ensuring that data-driven decisions align with organizational goals.

What are the key skills and qualifications needed to thrive as an enterprise data analyst, and why are they important?

To thrive as an Enterprise Data Analyst, you need a solid understanding of data analysis, statistics, and data management, typically supported by a degree in a related field such as computer science, mathematics, or business analytics. Proficiency in SQL, data visualization tools like Tableau or Power BI, and familiarity with database systems and data warehousing concepts are essential. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for transforming complex data into actionable business insights, supporting strategic decision-making across an organization.

What is the difference between Enterprise Data Analyst vs Data Scientist?

AspectEnterprise Data AnalystData Scientist
Required CredentialsBachelor's in Data Analytics, Business, or related fields; often certifications in SQL, Excel, or BI toolsBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, focusing on reporting, dashboards, and data managementResearch and development environments, focusing on predictive modeling and advanced analytics
Employer & Industry UsageCorporate, finance, healthcare, retail, and other industries requiring data reportingTech companies, research institutions, and industries needing advanced data modeling

The main difference between an Enterprise Data Analyst and a Data Scientist lies in their focus and skill set. Enterprise Data Analysts primarily handle data reporting, visualization, and business intelligence tasks, while Data Scientists develop predictive models and perform advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

More about Enterprise Data Analyst jobs

What cities are hiring for Enterprise Data Analyst jobs?

Cities with the most Enterprise Data Analyst job openings:

What states have the most Enterprise Data Analyst jobs?

States with the most job openings for Enterprise Data Analyst jobs include:

Infographic showing various Enterprise Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Enterprise Data Analyst

Husch Blackwell Llp

Boston, MA • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 28 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • 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

Dashboarding & Reporting

  • 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

Data Management & Quality

  • 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

Cross-Functional Collaboration

  • 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

Continuous Improvement & Growth

  • 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

POSITION 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

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

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: 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; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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