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Business Intelligence Data Analyst Jobs (NOW HIRING)

Genstar Capital LLC

$77K - $134K/yr

Job Overview Summary This position supports Advarra's Analytics and Reporting team, working closely with both Business Intelligence and Data Engineering to deliver reporting, dashboards, and data ...

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$163.5K

How much do business intelligence data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for business intelligence data analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities of a Business Intelligence Data Analyst?

Business Intelligence Data Analysts typically spend their days gathering and cleaning data from multiple sources, building and maintaining dashboards or reports, and conducting in-depth analyses to identify trends and opportunities. They often collaborate closely with business stakeholders to understand their needs and translate them into actionable data insights. Additionally, they may be responsible for troubleshooting data discrepancies, presenting findings to non-technical audiences, and providing recommendations for process improvements. This role offers a dynamic mix of technical tasks and business-oriented communication in a fast-paced environment.

What are the key skills and qualifications needed to thrive in the Business Intelligence Data Analyst position, and why are they important?

A Business Intelligence Data Analyst should possess strong analytical and quantitative skills, a solid understanding of data modeling, and a background in statistics or business-related fields. Familiarity with BI tools like Tableau or Power BI, proficiency in SQL, and certifications such as Microsoft Certified: Data Analyst Associate are often required. Exceptional problem-solving, communication, and collaboration skills help analysts translate complex data into actionable insights. These capabilities enable analysts to drive informed decision-making and contribute to strategic business growth.

What is a Business Intelligence Data Analyst job?

A Business Intelligence (BI) Data Analyst is responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. They use tools like SQL, Power BI, Tableau, and Excel to generate reports, dashboards, and insights. Their role involves identifying trends, measuring KPIs, and improving business processes by providing actionable recommendations. BI Data Analysts work closely with stakeholders to understand business needs and ensure data-driven decision-making. Strong analytical skills, problem-solving abilities, and knowledge of data visualization are key to success in this role.

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What cities are hiring for Business Intelligence Data Analyst jobs? Cities with the most Business Intelligence Data Analyst job openings:
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Business Intelligence Data Analyst jobs near you
Infographic showing various Business Intelligence Data Analyst job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,864 per year, or $48 per hour.
Business Intelligence Data Analyst

Business Intelligence Data Analyst

Clarity Partners LLC

Chicago, IL • On-site

$85K - $110K/yr

Other

Posted 4 days ago

Job description

Description

Voted one of Chicago's Best Places to Work by the Chicago Tribune for the ninth year in a row, Clarity Partners is hiring! 

Clarity Partners is seeking a Business Intelligence Data Analyst local to Chicago, IL. This role will support the development of analytical datasets, Power BI dashboards, and reporting solutions that help drive operational and strategic decision-making across the organization. The ideal candidate will bring strong SQL and Power BI experience, analytical problem-solving skills, and a collaborative mindset. This position will report in a hybrid setting.

Responsibilities

  • Develop, maintain, and optimize analytical datasets, database views, and reporting solutions using SQL Server, Oracle databases, and ETL frameworks. 
  • Design and maintain semantic data models that support Power BI dashboards and self-service analytics initiatives. 
  • Build, enhance, and support Power BI reports and dashboards for operational, engineering, maintenance, and strategic business functions. 
  • Perform data validation, quality assurance, and reconciliation to ensure reporting accuracy and consistency. 
  • Create and optimize DAX measures, report performance, and dashboard usability as reporting complexity grows. 
  • Collaborate with stakeholders to gather reporting requirements, clarify business logic, and deliver actionable BI solutions. 
  • Translate business requirements into prototypes, dashboards, and production-ready reporting tools. 
  • Support ad hoc reporting and analytical requests across cross-functional business teams. 
  • Maintain report user access, security permissions, and governance standards within Power BI Report Server (PBIRS). 
  • Contribute to documentation, metric definitions, dashboard user guides, and reporting standards. 
  • Apply data visualization and user experience best practices to improve dashboard usability and adoption. 
  • Stay current on BI trends, data governance standards, and analytics best practices.

Requirements

 Requirements:

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Engineering, or a related field. 
  • 1-5 years of experience in business intelligence, data analytics, reporting, or related analytical roles. 
  • Strong experience with Power BI, including data modeling, DAX, report design, and dashboard development. 
  • Proficiency in SQL for querying, transforming, and analyzing relational datasets. 
  • Experience working with enterprise operational systems and large datasets. 
  • Strong analytical, problem-solving, and organizational skills. 
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. 
  • Experience supporting KPI dashboards, operational reporting, or executive reporting initiatives preferred. 
  • Familiarity with PBIRS, GIS concepts, EAM systems, or asset-related datasets preferred. 
  • Understanding of data modeling concepts including star schemas, fact tables, and dimension tables preferred. 
  • Experience within utilities, infrastructure, engineering, construction, or operations environments is a plus. 
  • Power BI, SQL, or related analytics certifications preferred.

Clarity is committed to fair and equitable compensation practices. For the Business Intelligence Engineer, the base salary pay range is $85,000-$110,000. The range represents a good faith estimate that Clarity reasonably expects to pay for this job at the time of posting. Compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

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