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Business Intelligence Professional Jobs (NOW HIRING)

ISCS

Business Intelligence Developer

San Jose, CA · On-site

ISCS is seeking an experienced Business Intelligence professional to join the insurance industry's brightest minds in developing and deploying today's most advanced consumer-facing reporting and ...

ISCS

Business Intelligence Developer

San Jose, CA · On-site

ISCS is seeking an experienced Business Intelligence professional to join the insurance industry's brightest minds in developing and deploying today's most advanced consumer-facing reporting and ...

Innio

Business Intelligence Expert - Data Centers

Houston, TX · On-site

$48.75 - $63.25/hr

The Business Intelligence Expert will serve as a highly connected, externally focused market intelligence professional to serve as the organization's "eyes and ears" across the U.S. and global data ...

Hut 8

Associate, Business Intelligence (Development)

Miami, FL · On-site

$42K - $58K/yr

We are seeking a highly analytical and intellectually curious Business Intelligence professional to support capital forecasting, financial performance monitoring, and project-level insight delivery ...

Esolvit Inc

Business Intelligence

Austin, TX · On-site

With our dedicated and efficient team of professionals with technical expertise and strong domain ... need for 7 years Business Intelligence in Healthcare domain with strong skills SAP,ETL,Data ...

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How much do business intelligence professional jobs pay per year?

As of Jun 9, 2026, the average yearly pay for business intelligence professional in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Business Intelligence Professionals when working with cross-functional teams?

Business Intelligence Professionals often collaborate with stakeholders from various departments such as marketing, finance, and operations. A common challenge is translating complex data insights into actionable recommendations that are easily understood by non-technical team members. Additionally, BI professionals must ensure data consistency and accuracy while managing differing priorities and timelines across teams. Effective communication and a proactive approach to understanding each department’s needs are key to overcoming these challenges and delivering value through data-driven solutions.

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

AspectBusiness Intelligence ProfessionalData Analyst
CredentialsOften requires BI certifications, SQL, and data visualization skillsTypically needs statistical, analytical, and SQL skills, with certifications like CAP or Microsoft certifications
Work EnvironmentWorks with BI tools, dashboards, and data warehouses in corporate settingsAnalyzes data sets, creates reports, and visualizations, often in finance, marketing, or operations
Industry UsageCommonly employed in business intelligence teams across industriesWidely used in various sectors for data-driven decision making

Business Intelligence Professionals focus on designing and managing BI systems, dashboards, and data warehouses, while Data Analysts primarily analyze data sets and generate reports. Both roles require strong analytical skills and familiarity with SQL and data visualization tools, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Business Intelligence Professional, and why are they important?

To thrive as a Business Intelligence Professional, you need strong analytical abilities, data modeling expertise, and proficiency in databases—often supported by a degree in computer science, information systems, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes certifications such as Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for translating complex data into actionable insights for stakeholders. These competencies enable informed decision-making and drive business growth by turning raw data into strategic information.

What is a Business Intelligence Professional?

A Business Intelligence (BI) Professional is a specialist who uses data analysis tools and techniques to help organizations make informed business decisions. They collect, process, and analyze large volumes of data to generate actionable insights, often using dashboards and reports. BI professionals work closely with stakeholders to identify business needs, design data-driven solutions, and improve operational efficiency. Their expertise is crucial in transforming raw data into meaningful information that can drive strategic planning and competitive advantage.
What cities are hiring for Business Intelligence Professional jobs? Cities with the most Business Intelligence Professional job openings:
What are the most commonly searched types of Business Intelligence jobs? The most popular types of Business Intelligence jobs are:
What states have the most Business Intelligence Professional jobs? States with the most job openings for Business Intelligence Professional jobs include:
Business Intelligence Professional jobs near you

Business Intelligence

Interactive CAD Services, Inc.

Fort Worth, TX

Other

Posted 22 days ago

Job description

Position: Business Intelligence Analyst
Position Type: W2 Contract-No Benefits
Position Location: Fort Worth, TX
Description:
Role Overview

  • Seeking a Data Analytics / Business Intelligence professional (3-5 years experience) to design and maintain position level change tracking and analytics across HR and finance data.
  • Role focuses on translating complex position lifecycle events (creation, elimination, modification, replacement, overlap, etc) into clear, auditable data flows and dashboards for analysis and decision making.
  • Ideal candidate is comfortable working with messy, event driven data from multiple source systems and partnering with Finance, HR, and Operations stakeholders.
Core Responsibilities
  • Design data models that link original positions to all approved change requests across the position lifecycle, including noting where a position is being moved and replaced with a different position number.
  • Build data flows and mappings that capture granular position changes, including:
    • Cost center changes
    • Position eliminations and replacements
    • Level / grade changes
    • Start and end date modifications
    • Overlapping positions (backfills, transitions, phased replacements)
    • Other key metrics
  • Create dashboards and reporting views that clearly summarize:
    • What changed
    • When it changed
    • Why it changed (change type / driver)
    • Net impact over time
    • Total position counts (then, now, future)
    • Total Positions by key factors (levels, locations, etc)
  • Ensure data outputs are traceable, auditable, and easy to interpret by non technical stakeholders to enable analysis & reporting.
  • Partner with Finance and HR teams to validate logic, assumptions, and business rules.

Required Experience & Skills
  • 3-5 years of experience in Data Analytics, Business Intelligence, or Analytics Engineering roles.
  • Strong experience working with relational data models and event based change data.
  • Advanced SQL skills; comfortable handling historical snapshots, effective dating, and record versioning.
  • Experience building dashboards in tools such as Power BI, Tableau, Looker, or similar.
  • Ability to translate complex business processes into clear data structures and visuals.
  • Strong communication skills; able to explain data logic to Finance and HR partners.

Nice to Have / Differentiators
  • Experience with HR systems, position management data, or workforce analytics.
  • Exposure to finance or headcount planning use cases.
  • Familiarity with slowly changing dimensions (SCDs) or audit style reporting.
  • Experience working in environments with frequent structural or organizational change.

Top 3 to 5 skillsets / years of experience
  • Seeking a Data Analytics / Business Intelligence professional (3-5 years experience) to design and maintain position level change tracking and analytics across HR and finance data
  • Role focuses on translating complex position lifecycle events (creation, elimination, modification, replacement, overlap, etc) into clear, auditable data flows and dashboards for analysis and decision making
Ideal candidate is comfortable working with messy, event driven data from multiple source systems and partnering with Finance, HR, and Operations stakeholders

Apply