ZipRecruiter

Log In

1

Business Intelligence Jobs (NOW HIRING)

Grant Street Group

Business Intelligence Analyst

We are looking for a Business Intelligence Analyst who has a strong technical background in BI development and analytics, and a passion for building the revenue and product insights needed to guide ...

TECO

Business Intelligence Analyst

Tampa, FL · On-site

Business Intelligence Analyst Sr Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 Days WHO WE ARE? Peoples Gas System is the fastest growing natural gas utility in the ...

Grant Street Group

OR

We are looking for a Business Intelligence Analyst who has a strong technical background in BI development and analytics, and a passion for building the revenue and product insights needed to guide ...

Friendly Group

Business Intelligence Engineer

Westlake, TX · On-site +1

$49 - $63.50/hr

The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of business intelligence solutions. These responsibilities include working with operational leaders to ...

TECO

Business Intelligence Analyst

Tampa, FL

Business Intelligence Analyst Sr Company: Peoples Gas System State and City: Florida - Tampa Shift: 8 Hr. X 5 Days WHO WE ARE? Peoples Gas System is the fastest growing natural gas utility in the ...

Nextech

Business Intelligence Analyst

Memphis, TN · On-site +1

Business Intelligence Analyst Location: Memphis, TN (Hybrid) or Remote Overview We are seeking a Business Intelligence Analyst to support data analysis, reporting, and dashboard development ...

Snowrelic Inc

Business Intelligence (W2)

Atlanta, GA · On-site

$49 - $63.75/hr

Business Intelligence (BI) SME Location: Alpharetta, GA / Dallas, TX (Onsite) Note: No H1B We are seeking a Business Intelligence Subject Matter Expert (SME) with strong experience in Palantir and ...

FRIENDLY GROUP

Business Intelligence Engineer

Westlake, TX · On-site

$49 - $63.50/hr

Description: The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of business intelligence solutions. These responsibilities include working with ...

next page

Showing results 1-20

People also search for

All JobsBusiness Intelligence Jobs

Business Intelligence information

See salary details

$29.5K

$114.3K

$167.5K

How much do business intelligence jobs pay per year?

As of Jun 8, 2026, the average yearly pay for business intelligence 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.

Will AI replace BA jobs?

Business Intelligence (BI) analysts use data analysis, visualization tools, and domain knowledge to support decision-making. While AI can automate routine data processing and reporting tasks, BI roles require critical thinking, interpretation, and strategic insights that are less likely to be fully replaced by AI in the near term.

How does a Business Intelligence professional typically collaborate with other departments within an organization?

Business Intelligence professionals frequently work cross-functionally, partnering with departments such as marketing, sales, finance, and operations to understand their data needs and provide actionable insights. They often translate business questions into data-driven analyses and present findings in clear, accessible formats. Collaboration may include attending regular meetings, gathering requirements for dashboards or reports, and offering guidance on data interpretation, making strong communication skills essential for success in this role.

What is the difference between Business Intelligence vs Data Analyst?

AspectBusiness IntelligenceData Analyst
Required CredentialsBachelor's in IT, Business, or related fields; certifications like CBIP or Microsoft BIBachelor's in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentBI teams, data warehouses, reporting toolsData sets, spreadsheets, statistical software
Employer & Industry UsageBusiness sectors, analytics teams, IT departmentsMarketing, finance, healthcare, and other sectors requiring data insights

Business Intelligence professionals focus on designing and managing systems that collect, analyze, and visualize data to support strategic decisions. Data Analysts interpret data to identify trends and generate reports. While both roles work with data, BI emphasizes system development and dashboards, whereas Data Analysts focus on data interpretation and insights.

What Are the Qualifications to Get a Job in Business Intelligence?

Qualifications for a career in business intelligence (BI) include a bachelor’s degree in marketing, business administration, or a related field. A strong background in statistics and computer analysis is also desirable, as most of your duties revolve around interpreting the data and creating reports. Computer proficiency is essential to work with the necessary software. Certification isn’t required, but it can improve your chances of getting hired by a company. The Marketing Research Association offers several certificate programs along with advanced learning opportunities in data analysis. Exceptional analytical and organizational skills are imperative. Critical thinking is also vital for interpreting the trends and making sound decisions.

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 skills, proficiency in data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with BI tools like Tableau, Power BI, SQL, and data warehousing systems, along with certifications such as Microsoft Certified: Data Analyst Associate, is highly beneficial. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting insights to stakeholders. These competencies enable BI professionals to transform complex data into actionable strategies that drive informed business decisions.

What is business intelligence?

Business intelligence (BI) refers to the processes, technologies, and tools that organizations use to collect, analyze, and present business data. The goal of BI is to help decision-makers make more informed business choices by turning raw data into actionable insights. This often involves data mining, reporting, dashboards, and predictive analytics. BI professionals work with databases, visualization tools, and statistical methods to support strategic and operational decision-making.
More about Business Intelligence jobs
What cities are hiring for Business Intelligence jobs? Cities with the most Business Intelligence 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 jobs? States with the most job openings for Business Intelligence jobs include:
What job categories do people searching Business Intelligence jobs look for? The top searched job categories for Business Intelligence jobs are:
Business Intelligence jobs near you
Business Intelligence Analyst

Business Intelligence Analyst

Grant Street Group

Remote

Full-time

Posted 13 days ago

Job description

At Grant Street Group, we provide quality software and uncompromising support for tax collection, ePayments, and auctions to help government work better and deliver reliable, efficient services. Data-driven decision making is an increasingly critical part of our company operations, and our Data Analytics and Revenue Operations teams provide the tools to make it happen.
We are looking for a Business Intelligence Analyst who has a strong technical background in BI development and analytics, and a passion for building the revenue and product insights needed to guide our next phase of growth. This person will sit at the intersection of data infrastructure, business intelligence, and revenue operations to design and deliver scalable analytics, dashboards, and revenue intelligence capabilities.
Some qualities we think would make you a good fit
  • You love a good challenge. You're bored by a work environment where every day is the same and the steps are all laid out for you. You'd much prefer a variety of challenging work and ownership over the solution, and you like getting to the root of the issue.
  • You administer business intelligence with the end user's needs in mind. You set up tools to maximize value and minimize headaches for the people who use them-sales leaders, product managers, finance partners, and client-facing teams.
  • You love working in a team. You will work in a small but mighty team in charge of the entire data and business intelligence lifecycle, collaborating with our clients, product teams, and go-to-market leaders to create a great analytics experience for our users.
  • You are both strategic and hands-on. You're as comfortable designing an operating model, metrics framework, or forecast as you are writing SQL, building a Tableau dashboard, or debugging a data pipeline.

Key Responsibilities
  • Generate meaningful insights into our products, operations, and business. Work with management teams to identify and prioritize business questions that can be answered or informed by data analysis. Have an experimentation mindset - create prototypes, iterate on feedback, and move quickly to figure out how to provide useful information to a variety of stakeholders.
  • Design and deliver compelling dashboards, reports, and visualizations. Use Tableau (or similar tools) to build actionable and understandable visualizations and self-service reporting that help internal teams and clients improve their operations and make better decisions.
  • Establish a metrics-driven culture across the revenue organization. Define core revenue, funnel, and client health metrics; implement governance standards; maintain a regular reporting cadence; and support a culture of clear accountability, performance standards, and continuous improvement.
  • Build predictive forecasting models and scenario analyses. Develop forward-looking revenue forecasts, pipeline health views, and risk analyses using integrated data from CRM, finance, and product usage; provide board-ready insights and clear narratives around performance and outlook.
  • Serve as a subject matter expert and educator on business intelligence and data-driven decision making. Educate product and go-to-market team members on basic data wrangling, reporting tools, and how to interpret dashboards; stay up to date on data visualization trends and technologies; and closely collaborate with the Grant Street Data Analytics team.
  • Understand and help maintain high-quality data pipelines and business intelligence infrastructure.

Qualifications
  • Experience: 3+ years of progressive experience in Business Intelligence, Analytics, or related roles within a fast-growing B2B SaaS or technology company, with demonstrated ownership of revenue or product analytics.
  • Strategic & Financial Acumen: Deep fluency in SaaS revenue metrics, forecasting, and financial modeling, with the ability to connect analytics to business strategy and outcomes.
  • Data & BI Expertise:
  • Strong SQL experience and knowledge of data modeling, warehousing, and ETL; ability to combine multiple data sources to create clean datasets for analysis.
  • Familiarity with business intelligence or data visualization tools such as Tableau, with experience designing dashboards that are both actionable and understandable for non-technical stakeholders.
  • Experience developing and interpreting machine learning models.
  • Technology Stack Experience: Expert-level familiarity with modern go-to-market technology ecosystems (CRM, marketing automation, BI/analytics, CPQ), and a proven ability to own and evolve CRM environments such as Salesforce or comparable enterprise platforms.
  • Programming & Infrastructure Skills: Knowledge of scripting languages such as Python.
  • Analytics & Communication: Demonstrated ability to architect analytics platforms, build predictive models, and translate complex data into simple, actionable insights. Exceptional written and verbal communication skills, including experience presenting analysis and recommendations to executive leadership.

There is minimal travel: typically 2-3 weeks per year for on-site meetings.
If you live (or want to live) in Pittsburgh, you can work in our downtown headquarters. We reward teamwork, professional excellence, and individual responsibility. Using the best collaboration tools available, we offer a technology-rich work environment that supports both on-site and telecommuting positions tailored to the needs of our employees. If you are passionate about your work, have an entrepreneurial spirit, and want to be on a team of exceptional professionals, then maybe Grant Street is for you!
Expected Salary Range: $100,000-$140,000/year
Recruitment Fraud Warning:
It has come to our attention that various individuals have been posing as Grant Street Group employees and contacting job seekers to schedule interviews and/or complete pre-interview screening questions.
All legitimate Grant Street Group positions require completing an application on our website before an interview. When you are contacted by Grant Street Group, all correspondence will come from an email address ending in "@grantstreet.com".
The hiring process usually takes several weeks and begins with a phone or video interview. Grant Street Group will not ask you to use any platform other than Google Meet or Zoom to conduct an interview. We will not ask you to make payments or to provide your date of birth, social security number, or banking details during the interview process.
If you believe you have been a victim of recruiting fraud concerning Grant Street Group, please contact us at [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply