1

Business Intelligence Data Jobs in Nebraska (NOW HIRING)

Engage in research and study to continuously improve the Firm's reporting and business intelligence ... Strong data storytelling skills, with a proven ability to design clear, effective data ...

Engage in research and study to continuously improve the Firm's reporting and business intelligence ... Strong data storytelling skills, with a proven ability to design clear, effective data ...

This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will ...

This role works across a broad and growing set of technologies, including custom reporting, business intelligence dashboards, data transformations, and system integrations. The right candidate is ...

This role works across a broad and growing set of technologies, including custom reporting, business intelligence dashboards, data transformations, and system integrations. The right candidate is ...

This role works across a broad and growing set of technologies, including custom reporting, business intelligence dashboards, data transformations, and system integrations. The right candidate is ...

Data Modeler

La Vista, NE · On-site

$51 - $66/hr

Work closely with ETL, integration, and analytics teams to ensure data models support reporting and business intelligence needs. * Design models that support data warehouses, data lakes, and cloud ...

Java J2EE Developers (W2)

Omaha, NE · On-site

$48.75 - $63.25/hr

... Business Intelligence & Data Warehousing, Global Infrastructure as well as Professional Services. Our mission is to 'To provide world class Staff Augmentation Services to our clients to enable them ...

... Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, ...

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Showing results 21-40

Business Intelligence Data information

What is a business intelligence data analyst?

A Business Intelligence (BI) Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use data visualization tools, databases, and reporting software to turn raw data into actionable insights. BI Data Analysts work closely with stakeholders to understand their data needs, create reports, and identify trends or patterns that can drive business growth. Their work supports strategic planning, performance measurement, and process improvements within a company.

What are the key skills and qualifications needed to thrive as a business intelligence data professional?

To thrive as a Business Intelligence Data professional, you need strong analytical skills, expertise in data modeling, and proficiency in database management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, and SQL, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, is highly valuable. Excellent problem-solving, attention to detail, and effective communication enable you to translate complex data into actionable insights for stakeholders. These skills are essential for enabling data-driven decision-making and creating value for organizations through informed strategic planning.

How does a business intelligence data professional typically collaborate with other departments within an organization?

Business Intelligence Data professionals frequently work with teams across the organization, such as marketing, finance, operations, and IT, to gather requirements and deliver actionable insights. They translate complex data into reports and dashboards tailored to different audiences, ensuring each department can make informed decisions. Effective communication and an understanding of business goals are essential, as BI data professionals often participate in cross-functional meetings and workshops to align analytics solutions with organizational strategies.

What is the difference between Business Intelligence Data vs Data Analyst?

AspectBusiness Intelligence DataData Analyst
Primary FocusData collection, storage, and management for reportingData analysis, interpretation, and visualization
Skills & CertificationsSQL, data warehousing, BI tools (e.g., Tableau, Power BI)Statistical analysis, Excel, SQL, visualization skills
Work EnvironmentData warehouses, BI platforms, enterprise systemsData sets, spreadsheets, reporting tools
Industry UsageUsed by BI teams, data engineers, and database administratorsUsed by business analysts, data analysts, and decision-makers

Business Intelligence Data focuses on managing and organizing data for reporting and dashboard creation, while Data Analysts interpret and analyze data to provide insights. Both roles often collaborate but serve different functions within data-driven organizations.

Infographic showing various Business Intelligence Data job openings in Nebraska as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution.

Enterprise Data Analyst

Husch Blackwell Llp

Omaha, NE • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 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


What Husch Blackwell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom