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$29.5K

$114.3K

$167.5K

How much do business intelligence data jobs pay per year?

As of Jul 11, 2026, the average yearly pay for business intelligence data 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 the key skills and qualifications needed to thrive as a Business Intelligence Data professional, and why are they important?

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.

What does a business intelligence data analyst do?

A business intelligence data analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use tools like SQL, Excel, and BI software such as Tableau or Power BI to create reports and dashboards, often working with large datasets and requiring strong analytical skills. The role typically involves data cleaning, visualization, and presenting insights to stakeholders.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but business intelligence data analysts are essential for interpreting complex data, providing strategic insights, and making informed decisions. The role requires skills in data visualization, critical thinking, and domain knowledge, which AI currently cannot fully replicate. Therefore, AI is a complement rather than a complete replacement for data analysts.

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.

How much do the CIA pay analysts?

CIA analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and seniority. Entry-level positions may start around $60,000, with salaries increasing for more experienced or specialized roles, often supplemented by benefits and security clearances.

What is the role of data in business intelligence?

In business intelligence roles, data is the foundation for analyzing and generating insights that support decision-making. Data collection, cleaning, and visualization tools like SQL, Excel, and BI platforms are essential skills to transform raw data into actionable information for strategic planning. Accurate data enables organizations to identify trends, optimize operations, and improve overall performance.

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.

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.
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Business Intelligence Data jobs near you
Director, Business Intelligence & Data

Director, Business Intelligence & Data

PFSbrands

Holts Summit, MO • On-site

Full-time

Posted 12 days ago

Job description

DIRECTOR, BUSINESS INTELLIGENCE & DATA
Reports to: Chief Financial Officer
FLSA Status: Exempt
SUMMARY
The Director, Business Intelligence & Data is an executive role responsible for unifying the company's data ecosystems across its four business units: a national hot food program serving grocery and convenience store partners, a proprietary grocery chain, a restaurant brand, and a manufacturing operation. This leader owns the company's data strategy end-to-end, from pipeline architecture and business intelligence reporting to predictive analytics and executive-level insight. The Director, Business Intelligence & Data serves as a key liaison to the leadership team, translating business complexity into data advantage, and works closely with the CEO and senior leaders to align the data function with company-wide priorities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Strategy & Vision
  • Define and execute a multi-year data and analytics strategy aligned to business goals across all four verticals
  • Champion a data-first culture throughout the organization, including at the executive level
  • Identify and prioritize high-value analytics opportunities across customer behavior, supply chain, menu and category performance, manufacturing operations, and partner program analytics
  • Develop and maintain the data platform roadmap, including tooling, infrastructure, and capability investments

Team & Department Leadership
  • Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations, Power BI, and any future roles
  • Define team structure, hiring plans, and career development frameworks as the function scales
  • Build a culture of quality, accountability, and continuous improvement within the department
  • Conduct performance reviews and support the professional development of all direct and indirect reports

Organizational Engagement
  • Partner closely with the CEO and senior leadership team to ensure data strategy supports company-wide priorities and decision-making
  • Translate complex technical capabilities into clear, actionable narratives for executive and non-technical audiences
  • Collaborate with Operations, Marketing, Finance, Supply Chain, and Manufacturing to ensure data assets serve business decisions across all units
  • Build credibility and trust across business units as a strategic partner, not only a technical resource

Governance, Infrastructure & Execution
  • Oversee the full data platform: pipelines, data warehouse, BI tooling (Power BI), and operational data flows
  • Own data governance, quality standards, and access controls across all data environments
  • Manage the department budget, vendor contracts, and technology procurement
  • Ensure data practices meet regulatory, security, and compliance requirements

QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, experience and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • 8+ years of experience in data, analytics, or data engineering, with management and leadership experience
  • Demonstrated experience building or scaling a data function within a complex, multi-unit or multi-brand organization
  • Strong fluency across the data stack, including data ingestion, transformation, warehousing, and BI/visualization
  • Experience engaging with and presenting to C-suite or executive audiences
  • Track record of building and developing high-performing technical teams
  • Hands-on familiarity with modern data platforms and BI tooling; Power BI experience preferred
  • Strong analytical and problem-solving abilities
  • Excellent communication skills-able to explain technical concepts to non-technical audiences
  • Collaborative leadership style with the ability to influence across functions and levels

WORKING CONDITIONS
  • Work is typically performed in normal office conditions

PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this job, the employee is required to use hands to fingers, reach, climb stairs, walk, and sit for long periods of time
  • Must be able to sit for prolonged periods of time in front of a computer daily
  • Must have visual and hearing acuity
  • Digital dexterity and hand/eye coordination in operation of office equipment
  • Ability to speak to and hear customers and/or employees via phone and in person in English
  • Ability to use hands and fingers to reach, lift and carry 25 pounds on an infrequent basis

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