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Business Intelligence Specialist Jobs (NOW HIRING)

Business Intelligence Specialist Position Type: Full Time Location: Tampa, FL (USL Headquarters) Overview of the United Soccer League (USL) The United Soccer League (USL) is shaping the future of ...

The Business Intelligence Specialist I is responsible for developing, maintaining, and supporting business intelligence reports and dashboards. The role focuses on creating accurate, user-friendly BI ...

NY · On-site

$90 - $130/hr

Vi söker en Business Intelligence-specialist med gedigen erfarenhet av att utveckla och modernisera datadrivna lösningar. I rollen arbetar du genom hela kedjan - från behovsanalys och ...

Job Overview The Business Intelligence Developer will develop reporting solutions that enable better decision-making across Marketing and partner teams. This role blends technical execution with ...

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How much do business intelligence specialist jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for business intelligence specialist in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is a business intelligence specialist?

Business Intelligence Specialists are professionals who analyze data and generate actionable insights to help organizations make informed business decisions. They use tools like SQL, Power BI, or Tableau to collect, process, and visualize data from various sources. Their role often involves designing data models, creating reports and dashboards, and working with stakeholders to understand business needs. Ultimately, they turn complex data into clear, practical information that supports strategic planning and operational improvements.

What are some common challenges business intelligence specialists face when working with cross-functional teams?

Business Intelligence Specialists often collaborate with teams 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 stakeholders. Additionally, aligning data priorities and ensuring data quality across departments can be difficult, as different teams may use disparate systems or have varying data definitions. Strong communication skills and a collaborative mindset are essential to overcome these challenges and ensure BI initiatives drive organizational value.

What are the key skills and qualifications needed to thrive as a business intelligence specialist, and why are they important?

To thrive as a Business Intelligence Specialist, you need strong analytical abilities, data modeling expertise, and a solid educational background in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, SQL, and knowledge of data warehousing are typically required, along with relevant certifications like Microsoft Certified: Data Analyst Associate. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business strategies. These skills are crucial for turning complex data into meaningful insights that drive informed decision-making and business growth.

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

AspectBusiness Intelligence SpecialistData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentTypically in corporate or enterprise settings, focusing on BI tools and dashboardsOften in various industries, analyzing data sets to identify trends and insights
Employer & Industry UsageUsed by organizations to develop BI solutions, reports, and dashboardsUsed across industries for data interpretation, reporting, and decision support

While both roles involve data analysis and require similar certifications, Business Intelligence Specialists focus more on developing BI tools and dashboards, whereas Data Analysts primarily interpret data to inform business decisions.

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Infographic showing various Business Intelligence Specialist job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Senior Business Intelligence Specialist

Comprehensive Power, Inc

Tampa, FL • On-site

$120 - $160/hr

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Job description

**Must possess an active Top Secret (TS) clearance with eligibility to SCI based on a Single Scope Background Investigation (SSBI)**

Program Overview

CRS is seeking a Senior Business Intelligence Specialist to support execution of a Blanket Purchase Agreement (BPA) delivering Enterprise Knowledge Management (EKM) services to a U.S. Combatant Command headquartered at MacDill Air Force Base in Tampa, Florida. The BPA supports the Command Headquarters, its Component Commands, and its Theater Special Operations Commands (TSOCs), spanning multiple CONUS and OCONUS locations across a broad Area of Responsibility (AOR) and operating across unclassified and classified networks.

This position leads business intelligence and data analysis for the program, including data analytics and visualization, with supporting responsibility for data governance and integration. The Senior Business Intelligence Specialist develops the BI service offerings and architectures that equip leaders and staff with the authoritative knowledge required to make rapid, informed decisions.

Position Summary

The Senior Business Intelligence Specialist shall develop, sustain, and optimize a robust business intelligence and analytics framework for the enterprise. The individual shall act as an expert advisor to the Government on matters relating to people, processes, and technology, and shall develop enterprise BI service offerings that improve Government business processes and accelerate leadership decision cycles.

The individual shall be responsible for transforming complex enterprise data into secure, authoritative visual products aligned to the Command's operational requirements, for establishing the data quality and governance underpinning every analytics solution, and for developing the quantitative and qualitative methods used to evaluate the impact of KM initiatives.

Key Responsibilities
  • Develop new BI service offerings and architectures that enhance enterprise decision-making through fact-based insights, leveraging data warehousing, operational data stores, and BI best practices.
  • Establish and maintain BI architectures supporting fact-based decisions, real-time insights, and ad-hoc analysis for Government stakeholders.
  • Elicit decision questions from leadership and translate them into analytic requirements, defining business outcomes, Key Performance Indicators, and success metrics aligned to KM objectives.
  • Deliver decision-support dashboards and visual analytics aligned to leadership battle rhythm and staff workflows, integrating authoritative content from enterprise platforms and workflows so dashboards present validated, timely information for leadership decision events.
  • Establish data quality and governance for all analytics solutions by defining authoritative data sources, metadata, refresh schedules, and access controls, and by applying Power BI modeling and Data Analysis Expressions practices consistent with enterprise standards.
  • Model enterprise data flows and establish data pipelines from authoritative sources, ensuring governance consistency with the Command KM Directive and RM program standards for taxonomy, metadata, and disposition.
  • Implement data quality and provenance controls including capture source, lineage, classification, retention, and compliance artifacts in reports and underlying datasets.
  • Use, with Government approval and authorization for the applicable security environment, AI and Machine Learning features within Power BI to identify trends, anomalies, and predictive insights supporting leadership decisions.
  • Develop analytical frameworks — both quantitative (metrics, KPIs, statistical methods) and qualitative (interviews, observations, thematic analysis) — to measure the effectiveness of KM and process improvement initiatives.
  • Develop dashboards, scorecards, and reporting artifacts that communicate initiative results to leadership and decision-makers, and track organizational performance trends to assess sustained impact.
  • Define reporting cadences and deliverables, including monthly status reporting inputs, sprint reviews, and executive summaries, to keep leadership informed of progress and risk.
  • Engage directly with end users to identify BI gaps, requirements, and opportunities for new analytical capabilities, and integrate BI offerings with other automation services to create a unified enterprise knowledge ecosystem.
  • Provide adoption and sustainment artifacts including clear documentation and training for end users and administrators, instrument usage telemetry, and define measures of effectiveness; mentor business intelligence analysts assigned to the program.
Required Qualifications

The following qualifications are mandatory for this position:

  • Shall be a U.S. citizen and shall possess an active Top Secret (TS) clearance with eligibility to SCI based on a Single Scope Background Investigation (SSBI).
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Business, or a related discipline; additional directly relevant experience may substitute for the degree.
  • A minimum of eight (8) years of business intelligence or data analytics experience, including at least five (5) years designing and delivering Power BI solutions at enterprise scale.
  • Demonstrated expertise in data modeling and Data Analysis Expressions, including semantic model design, row-level security, and performance tuning.
  • Experience building data pipelines from authoritative sources into a data warehouse or operational data store, with working SQL proficiency.
  • Demonstrated experience defining KPIs and measures of effectiveness directly with senior stakeholders and translating decision questions into analytic requirements.
Desired Qualifications

The following qualifications are strongly desired and will be viewed favorably:

  • Experience supporting a Combatant Command, Service headquarters, or SOF organization with leadership-facing analytics.
  • Microsoft certifications (e.g., PL-300 Power BI Data Analyst, DP-600 Fabric Analytics Engineer).
  • Experience deploying Power BI Report Server or Power BI within classified enclaves.
  • Experience with Microsoft Fabric, Azure Synapse, or a comparable enterprise data warehouse platform.
  • Experience applying AI and Machine Learning features within Power BI in a governed, approved environment.
  • Familiarity with DoD data governance principles requiring data to be visible, accessible, understandable, linked, trustworthy, interoperable, and secure.
  • Lean Six Sigma certification and experience measuring process improvement outcomes.
  • Experience with MS SQL Server, Dynamics 365, and integration with mission data platforms.
Attributes of a Successful Candidate
  • Starts from the leader's decision, not from the available data.
  • Refuses to publish a dashboard whose numbers cannot be traced to an authoritative source.
  • Designs visuals that a commander can read in thirty seconds and an analyst can interrogate for an hour.
  • Skilled at eliciting what stakeholders actually need from what they initially ask for.
  • Comfortable working across unclassified and classified networks and adapting to the security constraints each environment imposes.
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