Business Intelligence Analyst Jobs
Business Intelligence Analyst jobs are open across finance, healthcare, retail, technology, and manufacturing, at every level from entry-level to senior and lead, with specializations in data visualization, reporting, and predictive analytics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 823+ Business Intelligence Analyst jobs
DESCRIPTION
As a Business Intelligence Engineer II, you will build data pipelines, models, dashboards, and AI assisted analytics that help Field IT leaders understand performance and make informed decisions. You will work across the analytics lifecycle, from raw operational data through executive scorecards, with a strong focus on accuracy, clarity, and scalable reporting.
Key job responsibilities
- Write and optimize advanced SQL and Amazon Redshift transformations across large operational datasets.
- Design data models and staging layers that convert Field IT data into reliable, well documented metrics.
- Build and maintain Weekly Operational Review and Quarterly Business Review dashboards and scorecards in Amazon QuickSight and Amazon Quick Suite.
- Validate and reconcile metrics before they are included in leadership reporting.
- Investigate metric discrepancies by reviewing definitions, transformation logic, and upstream source systems.
- Translate operational questions into clear, consistent, and defensible measurements.
- Apply generative AI and large language model assisted methods to support anomaly investigation, metric analysis, and self service reporting.
- Partner with analysts, engineers, and program leaders to define new metrics, improve existing measurements, and retire metrics that no longer provide meaningful insight.
A day in the life
You may begin the day validating the metrics prepared for an operational review and investigating an unexpected change in a Field IT measure. Later, you might optimize a Redshift transformation, publish an updated data model, and improve QuickSight visuals for a nontechnical audience. You may also work with a program leader to define a new quarterly metric or prototype an LLM assisted workflow that drafts initial explanations for recurring anomalies.
About the team
OTS Ops Tech Analytics builds and operates the metrics layer for Operations Technology Solutions. The team produces Weekly Operational Review and Quarterly Business Review scorecards used by Field IT Operations leaders. We are investing in AWS native data pipelines and AI assisted analytics to improve the scale, accuracy, and clarity of our reporting.
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 3+ years of SQL, ETL or Oracle experience
- 3+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
As a Business Intelligence Engineer II, you will build data pipelines, models, dashboards, and AI assisted analytics that help Field IT leaders understand performance and make informed decisions. You will work across the analytics lifecycle, from raw operational data through executive scorecards, with a strong focus on accuracy, clarity, and scalable reporting.
Key job responsibilities
- Write and optimize advanced SQL and Amazon Redshift transformations across large operational datasets.
- Design data models and staging layers that convert Field IT data into reliable, well documented metrics.
- Build and maintain Weekly Operational Review and Quarterly Business Review dashboards and scorecards in Amazon QuickSight and Amazon Quick Suite.
- Validate and reconcile metrics before they are included in leadership reporting.
- Investigate metric discrepancies by reviewing definitions, transformation logic, and upstream source systems.
- Translate operational questions into clear, consistent, and defensible measurements.
- Apply generative AI and large language model assisted methods to support anomaly investigation, metric analysis, and self service reporting.
- Partner with analysts, engineers, and program leaders to define new metrics, improve existing measurements, and retire metrics that no longer provide meaningful insight.
A day in the life
You may begin the day validating the metrics prepared for an operational review and investigating an unexpected change in a Field IT measure. Later, you might optimize a Redshift transformation, publish an updated data model, and improve QuickSight visuals for a nontechnical audience. You may also work with a program leader to define a new quarterly metric or prototype an LLM assisted workflow that drafts initial explanations for recurring anomalies.
About the team
OTS Ops Tech Analytics builds and operates the metrics layer for Operations Technology Solutions. The team produces Weekly Operational Review and Quarterly Business Review scorecards used by Field IT Operations leaders. We are investing in AWS native data pipelines and AI assisted analytics to improve the scale, accuracy, and clarity of our reporting.
BASIC QUALIFICATIONS
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 3+ years of SQL, ETL or Oracle experience
- 3+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
Business Intelligence Analyst Jobs by Experience Level
Top Cities Hiring Business Intelligence Analysts
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Find JobsBusiness Intelligence Analyst Job Market
Who's Hiring
- Amazon55
- Amazon Web Services6
- Humana5
- Medpace5
- Chewy4
Top Industries Hiring
- Technology & Software55
- Retail21
- Healthcare & Medical Services20
- E-Commerce & Online Marketplaces17
- Construction & Real Estate15
What Employers Look For
The qualifications that appear most often in business intelligence analyst jobs.
- Proficiency in SQL for querying and transforming structured data
- Experience building dashboards and reports in Tableau, Power BI, or Looker
- Bachelor's degree in business, statistics, computer science, or a related field
- Ability to translate business questions into data models and analytical outputs
- Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Strong communication skills for presenting findings to non-technical stakeholders
Tips for Your Business Intelligence Analyst Job Search
Tailor your resume to each stack
BI analyst job listings vary sharply by tool set. If a posting calls out Power BI, Tableau, or Looker by name, mirror that exact language in your resume. Hiring managers scan for tool matches before reading anything else.
Quantify impact in your bullet points
Saying you built dashboards means little. State what the dashboards measured, how many stakeholders used them, and what decisions they informed. Concrete outcomes separate a BI resume from a generic data resume.
Apply early to roles that fit
Migrate Mate lists business intelligence analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by industry to target openings strategically
BI analyst skills transfer across industries, but job postings in healthcare emphasize compliance reporting while retail roles lean on sales and inventory analytics. Narrowing by industry helps you apply with a more targeted pitch and stronger context.
Prepare a SQL skills walkthrough for interviews
Most BI analyst interviews include a live SQL exercise or take-home query challenge. Practice writing window functions, CTEs, and aggregations without autocomplete. Being slow or uncertain in the SQL portion is the most common reason candidates stall at the technical round.
Negotiate scope before negotiating title
In BI roles, the tools you own, the stakeholders you serve, and whether you have self-serve or request-driven responsibilities define your career trajectory more than your title. Clarify those details before accepting an offer.
Business Intelligence Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most business intelligence analysts?
The companies hiring the most business intelligence analysts right now include Amazon, Amazon Web Services, and Humana, with the largest share of openings in Texas, California, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is consistently high in financial services, healthcare systems, and large retail and technology organizations.
How many business intelligence analyst jobs are remote?
About 63% of business intelligence analyst openings are fully remote or hybrid as of August 2026, making it one of the more flexible roles in the data field. Reporting-focused and self-serve analytics positions tend to have the highest remote availability, while roles that require close collaboration with operations or supply chain teams are more likely to be on-site.
How do you become a business intelligence analyst?
Most business intelligence analysts start by building proficiency in SQL and at least one BI tool such as Tableau or Power BI, often through coursework or self-directed projects. From there, gaining experience with real datasets, whether through internships, freelance work, or personal projects tied to a specific industry, is the most direct path. Employers value candidates who can demonstrate they have built dashboards that informed an actual decision, not just completed a course.
Can you get a business intelligence analyst job with little experience?
Yes, entry-level business intelligence analyst roles are available, and many employers hire candidates who can demonstrate technical ability through a portfolio rather than years of work history. Building two or three publicly available dashboards in Tableau Public or Power BI Service, sourcing data from open datasets relevant to the industry you are targeting, and writing clean SQL to back them up gives you concrete work to discuss. Applying to roles with titles like junior BI analyst, reporting analyst, or data analyst associate broadens your eligible pool significantly.
What does the business intelligence analyst interview process look like?
Most business intelligence analyst interviews follow a sequence that starts with a recruiter screen focused on your tool experience and background, followed by a hiring manager conversation about your analytical approach and past projects. A technical round typically includes a SQL exercise and a review of a dashboard or report you have built. Final rounds often involve a stakeholder or case interview where you interpret a business problem and recommend an analytical solution. The process usually runs three to four stages total.
Where can I find and apply to business intelligence analyst jobs?
You can find and apply to business intelligence analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills, experience level, and preferred location, then apply directly to each one that fits.
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