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We are seeking Junior Business & Data Analyst's with 6 months to 1 year of experience to become an integral part of our team! You will analyze data to understand business and market trends in order ...

Jr. Business Analyst

Washington, DC · On-site

$28.25 - $37.75/hr

... Junior Business Analyst role assists with analysis of designs, implementation of SiloSmashers ... Intelligence solutions and facilitates delivery of data analysis, reporting and support to end ...

Jr. Business Analyst

Washington, DC · On-site

$30 - $40.25/hr

... Junior Business Analyst role assists with analysis of designs, implementation of SiloSmashers ... Intelligence solutions and facilitates delivery of data analysis, reporting and support to end ...

... Jr. Business Data Analyst: * Digital Marketing Specialist * Digital Marketing Analyst * Digital ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... Jr. Business Data Analyst: * Digital Marketing Specialist * Digital Marketing Analyst * Digital ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... Jr. Business Data Analyst: * Digital Marketing Specialist * Digital Marketing Analyst * Digital ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Junior Business Intelligence Data Analyst information

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How much do junior business intelligence data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for junior business intelligence data analyst in the United States is $31.04, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $34.13 per hour, depending on experience, location, and employer.

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

AspectJunior Business Intelligence Data AnalystJunior Data Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; familiarity with BI toolsBachelor's in Statistics, Mathematics, or related field; basic data analysis skills
Work EnvironmentBusiness intelligence teams, data warehouses, reporting platformsData collection, cleaning, and basic analysis across departments
Employer & Industry UsageTech, finance, retail, and consulting firms focusing on data-driven decisionsVarious industries including marketing, healthcare, and finance

While both roles involve data analysis, the Junior Business Intelligence Data Analyst focuses on creating reports, dashboards, and insights using BI tools, whereas the Junior Data Analyst handles broader data collection and basic analysis tasks. The BI role emphasizes visualization and reporting, often requiring familiarity with tools like Tableau or Power BI, making it more specialized within data-driven decision-making teams.

What cities are hiring for Junior Business Intelligence Data Analyst jobs? Cities with the most Junior Business Intelligence Data Analyst job openings:
What are the most commonly searched types of Business Intelligence Data Analyst jobs? The most popular types of Business Intelligence Data Analyst jobs are:
What states have the most Junior Business Intelligence Data Analyst jobs? States with the most job openings for Junior Business Intelligence Data Analyst jobs include:
Infographic showing various Junior Business Intelligence Data Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $64,573 per year, or $31 per hour.

Sr Business Intelligence Data Analyst I

Yum! Brands

Irvine, CA

Full-time

Medical, Dental, Retirement, PTO

Re-posted 26 days ago


Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Who is Taco Bell?

Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone's favorite Crunchy Tacos on the West Coast to a global brand with 8,500+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We're not only the largest Mexican-inspired quick service brand (QSR) in the world, we're also part of the biggest restaurant group in the world: Yum! Brands. 

Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn't been done before... we will continue to be inclusive, bold, challenge the status quo and push industryboundaries.  

We're a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we're at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live Mas.

At Taco Bell, we're Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below. 

About the Job:

Taco Bell is looking for a Sr. Business Intelligence Analyst 1 role to add to our highly collaborative and innovative Data Analytics Team. As a highly skilled and experienced Sr. Business Intelligence Analyst role within the dynamic Taco Bell Data Analytics Team, primary responsibility will be to design and develop dashboards, visualizations, metrics and reports to various business and field users across all of Taco Bell to help them derive insights for optimal business decisions. The ideal candidate will have a strong background in data analysis, business intelligence, and reporting. This role will involve working closely with various departments to provide insights and support data-driven decision-making processes.

The Day-to-Day: 

  • Data Analysis and Reporting: Analyze complex and high-volume data sets to identify trends, patterns, and insights. Develop and maintain semantic models, dashboards and reports to support business operations and strategic initiatives using Microsoft Fabric end to end analytics platform and snowflake.
  • Collaboration: Work closely with cross-functional teams, including marketing, finance, and operations, stakeholders, and vendors to understand their data needs and provide actionable insights and to deliver insight-driven data products leveraging various data sources.
  • Data Management: Ensure data accuracy and integrity by implementing and maintaining data quality standards. Manage and optimize data storage and retrieval processes. Create and maintain enhanced SQL queries for report data validation and performance optimization.
  • Decision Making: Demonstrate good decision-making and high-level understanding of end-to-end data ingestion and processing of data sets used in reporting and visualizations. 
  • Autonomy: Work independently with minimum guidance on complex assignments and leverage end-user relationships to drive outcomes. 
  • Participate in engagements that drive more visibility within the technology leadership team.
  • Delivery: Work closely with reliability team to define change management process for Power BI migrations and assist reliability team during production deployments for report and visualization migrations.

Is This You?

  • Bachelor's degree in computer engineering, Statistics, Math, or related field. A master's degree and Power BI certification are a plus. 

  • 8+ years of Industry experience in a business intelligence data analyst and report developer role.

  • 5+ years of solid hands-on experience designing, developing, and maintaining data visualizations using BI analytical tools, specifically PowerBI, Microsoft Fabric and Snowflake.

  • 5+ years of proven solid experience in designing and developing physical and logical data models to support the creation of complex data visualizations.

  • 5+ years of experience writing complex SQL queries across high-volume data sets. Highly proficient in SQL optimization techniques and PostgreSQL database systems. 

  • Familiarity working with lake houses, data warehouses, relational databases, and data modeling techniques.

  • Experience in embedding data visualizations in external and internal applications.

  • Strong analytical and critical thinking skills and work independently as part of a team.

  • Be a flexible, adaptive learner, go-to-expert in the disciple, and keep up with a fast-changing business model.

  • Willingness to build meaningful relationships with all stakeholders and enthusiastic about solving business problems using data visualizations. 

  • Recommend optimal data visualization solutions and eager to share/collaborate with reporting authors and consumers.

  • Demonstrate time management, teamwork, and prioritization skills.

  • Relevant industry experience in retail/QSR is a plus.

  • Excellent facilitation, oral and written communication, and presentation skills to easily explain information to technical and non-technical functional/cross-functional stakeholders. 

  • Exposure and entry-level experience in the AWS cloud platform and Snowflake are a plus. 

  • High-level knowledge of data engineering concepts and processes.

  • Hands-on experience using AI-powered tools in day-to-day analytics 

Work-Hard, Play-Hard:

  • Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday
  • Onsite childcare through Bright Horizons 
  • Onsite dining center and game room (yes, there is a Taco Bell inside the building) 
  • Onsite dry cleaning, laundry services, carwash, 
  • Onsite gym with fitness classes and personal trainer sessions 
  • Up to 4 weeks of vacation per year plus holidays and time off for volunteering 
  • Generous parental leave for all new parents and adoption assistance program 
  • 401(k) with a 6% matching contribution fromYum! Brands with immediate vesting 
  • Comprehensive medical & dental including prescription drug benefits and 100% preventive care
  • Discounts, free food, swag and... honestly, too many good benefits to name

Salary Range: $99,200 to $128,600 annually + bonus eligibility + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

At Taco Bell, we Live Mas and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self! 

Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity.  We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. 

Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.  

US Job Seekers/Employees - To view the "Know Your Rights" poster, click here. You may also access Taco Bell's Pay Transparency Policy Statement.

Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.

California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees here.

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  • Bachelor's degree in computer engineering, Statistics, Math, or related field. A master's degree and Power BI certification are a plus. 

  • 8+ years of Industry experience in a business intelligence data analyst and report developer role.

  • 5+ years of solid hands-on experience designing, developing, and maintaining data visualizations using BI analytical tools, specifically PowerBI, Microsoft Fabric and Snowflake.

  • 5+ years of proven solid experience in designing and developing physical and logical data models to support the creation of complex data visualizations.

  • 5+ years of experience writing complex SQL queries across high-volume data sets. Highly proficient in SQL optimization techniques and PostgreSQL database systems. 

  • Familiarity working with lake houses, data warehouses, relational databases, and data modeling techniques.

  • Experience in embedding data visualizations in external and internal applications.

  • Strong analytical and critical thinking skills and work independently as part of a team.

  • Be a flexible, adaptive learner, go-to-expert in the disciple, and keep up with a fast-changing business model.

  • Willingness to build meaningful relationships with all stakeholders and enthusiastic about solving business problems using data visualizations. 

  • Recommend optimal data visualization solutions and eager to share/collaborate with reporting authors and consumers.

  • Demonstrate time management, teamwork, and prioritization skills.

  • Relevant industry experience in retail/QSR is a plus.

  • Excellent facilitation, oral and written communication, and presentation skills to easily explain information to technical and non-technical functional/cross-functional stakeholders. 

  • Exposure and entry-level experience in the AWS cloud platform and Snowflake are a plus. 

  • High-level knowledge of data engineering concepts and processes.

  • Hands-on experience using AI-powered tools in day-to-day analytics 

As a Taco Bell Sr. Business Intelligence Analyst 1, you will:

  • Data Analysis and Reporting: Analyze complex and high-volume data sets to identify trends, patterns, and insights. Develop and maintain semantic models, dashboards and reports to support business operations and strategic initiatives using Microsoft Fabric end to end analytics platform and snowflake.
  • Collaboration: Work closely with cross-functional teams, including marketing, finance, and operations, stakeholders, and vendors to understand their data needs and provide actionable insights and to deliver insight-driven data products leveraging various data sources.
  • Data Management: Ensure data accuracy and integrity by implementing and maintaining data quality standards. Manage and optimize data storage and retrieval processes. Create and maintain enhanced SQL queries for report data validation and performance optimization.
  • Decision Making: Demonstrate good decision-making and high-level understanding of end-to-end data ingestion and processing of data sets used in reporting and visualizations. 
  • Autonomy: Work independently with minimum guidance on complex assignments and leverage end-user relationships to drive outcomes. 
  • Participate in engagements that drive more visibility within the technology leadership team.
  • Delivery: Work closely with reliability team to define change management process for Power BI migrations and assist reliability team during production deployments for report and visualization migrations.

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