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Business Intelligence Analyst Jobs (NOW HIRING)

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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 ...

Work From Home Work From Home Work From Home, Indiana 46544 The Business Intelligence Analyst (BIA) will be a key resource on the Enterprise Analytics team, responsible for identifying business ...

Responsible for the preparation of Business Intelligence (BI) analyses and reports for key stakeholders. Key Responsibilities: Gathers reporting requirements and analyzes data to provide recurring ...

The Business Intelligence Analyst will collaborate with BI team members and stakeholders to streamline data collection, management, and reporting processes while driving the standardization, quality ...

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Business Intelligence Analyst information

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$45.5K

$99.9K

$163.5K

How much do business intelligence analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for business intelligence 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.

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

Business Intelligence Analysts work closely with various departments such as marketing, finance, operations, and IT to understand their data needs and provide actionable insights. They often participate in cross-functional meetings to discuss reporting requirements, develop dashboards, and interpret data trends. Effective communication and collaboration are key, as analysts must translate complex data findings into clear, business-friendly recommendations that support strategic decision-making. This collaborative environment helps ensure that data-driven solutions align with the organization's overall goals.

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

AspectBusiness Intelligence AnalystData Analyst
Required SkillsData visualization, SQL, reporting tools, business acumenData cleaning, statistical analysis, Excel, SQL
Work EnvironmentBusiness intelligence teams, analytics departmentsData-focused teams, research departments
Industry UsageWidely used in corporate, finance, marketingCommon across various sectors including healthcare, retail

Business Intelligence Analysts focus on creating reports and dashboards to support strategic decisions, often working with BI tools and visualizations. Data Analysts handle data collection, cleaning, and analysis to uncover insights. While both roles require SQL and analytical skills, BI Analysts emphasize reporting and business insights, whereas Data Analysts focus more on data processing and statistical analysis.

What Does a Business Intelligence Analyst Do?

A business intelligence analyst or BI analyst uses data to determine a future business or market trend. Their goal is to increase a company’s efficiency and profits, using data mining and analysis to find the information they need for reporting. This information can help a company to analyze a trend so that they can stay ahead of their competitors. Most of the work that a business intelligence analyst does is on a computer. People in BI may also explore current conditions so they can see how a company is doing in the present. Once they compile the information, an analyst shares it with the necessary departments.

What is a Business Intelligence Analyst?

A Business Intelligence Analyst is a professional who uses data analysis and reporting tools to help organizations make informed business decisions. They collect, process, and analyze large sets of data to identify trends, patterns, and insights that can improve business operations and strategy. BI Analysts often create dashboards, reports, and visualizations to communicate their findings to stakeholders and management. Their work supports data-driven decision-making across various departments within a company.

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

To thrive as a Business Intelligence Analyst, you need strong analytical skills, data interpretation abilities, and a relevant degree such as in computer science, business, or statistics. Proficiency with BI tools like Tableau, Power BI, SQL, and familiarity with data warehousing systems are typically required, along with certifications such as Microsoft Certified: Data Analyst Associate. Excellent communication, problem-solving, and stakeholder management skills help analysts translate data insights into actionable business strategies. These competencies are essential for driving informed decision-making and delivering measurable value to organizations.
What cities are hiring for Business Intelligence Analyst jobs? Cities with the most Business Intelligence Analyst job openings:
What are the most commonly searched types of Business Intelligence Analyst jobs? The most popular types of Business Intelligence Analyst jobs are:
Who are the top companies hiring for Business Intelligence Analyst jobs? The top employers for Business Intelligence Analyst jobs are:
What states have the most Business Intelligence Analyst jobs? States with the most job openings for Business Intelligence Analyst jobs include:
Business Intelligence Analyst

Business Intelligence Analyst

Grant Street Group

OR • On-site

Full-time

Posted 15 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 clientfacing 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 gotomarket leaders to create a great analytics experience for our users.
  • You are both strategic and handson. 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 selfservice reporting that help internal teams and clients improve their operations and make better decisions.
  • Establish a metricsdriven 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 forwardlooking revenue forecasts, pipeline health views, and risk analyses using integrated data from CRM, finance, and product usage; provide boardready insights and clear narratives around performance and outlook.
  • Serve as a subject matter expert and educator on business intelligence and datadriven decision making. Educate product and gotomarket 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 highquality data pipelines and business intelligence infrastructure.
Qualifications
  • Experience: 3+ years of progressive experience in Business Intelligence, Analytics, or related roles within a fastgrowing 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 nontechnical stakeholders.
  • Experience developing and interpreting machine learning models. 
  • Technology Stack Experience: Expertlevel familiarity with modern gotomarket 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 onsite 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 technologyrich work environment that supports both onsite 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.
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