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Associate Business Intelligence Analyst Jobs (NOW HIRING)

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 ...

L3HHCM20

Business Intelligence Analyst

Herndon, VA

Business Intelligence Analyst Job Code: 32717 Job Location: Herndon, VA L3Harris is seeking an experienced Business Intelligence Analyst responsible for managing datasets alongside our engineering ...

RadNet

Business Intelligence Analyst

New York, NY

$65K - $75K/yr

Job Summary The Business Intelligence Analyst will be responsible for effectively analyzing and monitoring business intelligence standards for the organization in order to support the achievement of ...

Academy Bank

Business Intelligence Analyst

Kansas City, MO · On-site

$55K - $65K/yr

Summary The Business Intelligence Analyst will leverage their business and technical knowledge to ... Full-time associates are eligible for our benefits package: * Medical * Dental * Vision * 401(k) ...

Academy Bank

Business Intelligence Analyst

Kansas City, MO · On-site

$55K - $65K/yr

Summary The Business Intelligence Analyst will leverage their business and technical knowledge to ... Full-time associates are eligible for our benefits package: * Medical * Dental * Vision * 401(k) ...

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How much do associate business intelligence analyst jobs pay per hour?

As of May 31, 2026, the average hourly pay for associate business intelligence analyst in the United States is $32.33, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $38.46 per hour, depending on experience, location, and employer.

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

To thrive as an Associate Business Intelligence Analyst, you need a solid foundation in data analysis, statistical methods, and business acumen, typically supported by a degree in business, statistics, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes introductory experience with Python or R is highly valuable, as are relevant certifications. Strong communication, problem-solving, and attention to detail help translate data insights into actionable business recommendations. These skills ensure the analyst can effectively support decision-making and contribute to organizational growth through data-driven insights.

What are typical projects an Associate Business Intelligence Analyst might work on in their first year?

In your first year as an Associate Business Intelligence Analyst, you’ll likely be involved in projects such as building dashboards, conducting data validation, and assisting in the preparation of regular business reports. You may work closely with senior analysts and business teams to gather requirements, clean and analyze data, and present findings that help drive business decisions. These projects offer a strong foundation in both the technical and business aspects of BI, and provide valuable exposure to the company’s data infrastructure and analytics tools.

What does an Associate Business Intelligence Analyst do?

An Associate Business Intelligence Analyst supports data-driven decision making within an organization by collecting, analyzing, and presenting data. They use various tools and software to create reports, dashboards, and visualizations that help identify trends, measure performance, and provide actionable insights. Typically, they work closely with business teams to understand their data needs and assist in optimizing processes based on analytical findings. This role is often entry-level or early-career, providing foundational experience in business analytics and intelligence. Strong communication and technical skills are essential for success in this position.

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

AspectAssociate Business Intelligence AnalystBusiness Intelligence Analyst
Required CredentialsBachelor's degree in IT, Data Science, or related field; basic knowledge of SQL and data visualization toolsBachelor's or master's degree; stronger proficiency in SQL, data modeling, and analytics tools
Work EnvironmentEntry-level role, often in team settings, supporting data analysis tasksMore independent, responsible for designing reports, analyzing data, and providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and retail sectorsWidely used across similar industries, often with more complex projects

The main difference between an Associate Business Intelligence Analyst and a Business Intelligence Analyst lies in experience and responsibility. The associate role is typically entry-level, focusing on supporting data tasks, while the analyst role involves more independent analysis and decision-making. Both roles require similar educational backgrounds and technical skills, but the analyst position demands greater expertise and project ownership.

What cities are hiring for Associate Business Intelligence Analyst jobs? Cities with the most Associate 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:
What states have the most Associate Business Intelligence Analyst jobs? States with the most job openings for Associate Business Intelligence Analyst jobs include:
Associate Business Intelligence Analyst jobs near you
Business Intelligence Analyst

Business Intelligence Analyst

Grant Street Group

Full-time

Posted 5 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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