Senior Business Intelligence Engineer Jobs
Senior Business Intelligence Engineer jobs are open across technology, finance, healthcare, and retail, from mid-level to staff and principal, with specializations in data modeling, dashboard architecture, and pipeline engineering. Find a role that fits from the openings below and apply directly.
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It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
BI Analyst
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
Location: Remote
Note: This Position Is Not Eligible for Immigration Sponsorship at This Time.
Role Overview
We are seeking a highly skilled and business-oriented BI Analyst to join our Healthcare Analytics team. The ideal candidate will possess strong expertise in reporting and analytics, deep knowledge of healthcare claims data, and familiarity with Payment Integrity concepts. This role requires the ability to translate complex business and regulatory requirements into scalable analytics solutions and provide strategic guidance on compliance and regulatory reporting workbench design.
The candidate should combine analytical excellence, technical acumen, and healthcare domain expertise to deliver actionable insights that drive operational efficiency, compliance, and business outcomes.
Key Responsibilities
Design, develop, and maintain dashboards, reports, and analytical solutions using Power BI and SQL.
Analyze large healthcare claims datasets to identify trends, anomalies, savings opportunities, and compliance risks.
Support Payment Integrity initiatives through data analysis, reporting, and measurement of program effectiveness.
Collaborate with business stakeholders, compliance teams, clinical teams, and technology teams to gather and translate requirements into analytics solutions.
Provide recommendations on end-to-end analytics workbench architecture for regulatory, compliance, and operational reporting.
Develop data models, KPIs, scorecards, and executive dashboards that support strategic decision-making.
Ensure data quality, accuracy, governance, and consistency across reporting solutions.
Leverage AI-enabled analytics concepts and technologies to improve insights generation, automation, and reporting effectiveness.
Support root cause analysis, trend analysis, forecasting, and performance measurement initiatives.
Document business logic, metrics definitions, and reporting frameworks.
Required Skills
Technical Skills
Strong experience with Power BI, including dashboard development, DAX, data modeling, and report optimization.
Advanced SQL skills with experience querying and analyzing large datasets.
Strong understanding of data warehousing and dimensional modeling concepts.
Experience in reporting, analytics, business intelligence, and data visualization.
Knowledge of AI technologies, Generative AI concepts, and AI-driven analytics capabilities.
Understanding of data governance, compliance reporting, and regulatory analytics frameworks.
Domain Skills
Strong healthcare payer domain experience.
Deep understanding of healthcare claims data and claims lifecycle processes.
Familiarity with Payment Integrity concepts, including claim validation, overpayment identification, recoveries, pre-pay and post-pay review processes.
Knowledge of healthcare compliance and regulatory reporting requirements.
Preferred Qualifications
Experience working with healthcare payer organizations.
Exposure to cloud analytics platforms such as Azure, Databricks, Snowflake, or AWS Analytics services.
Experience supporting compliance, audit, and regulatory reporting programs.
Familiarity with predictive analytics, machine learning, or AI-enabled reporting solutions.
Understanding of CMS, Medicare, Medicaid, and commercial payer reporting environments.
Behavioral Competencies
Strong analytical and problem-solving skills.
Ability to communicate complex analytical insights to both technical and business stakeholders.
Excellent stakeholder management and collaboration skills.
Self-driven with strong ownership and accountability.
Ability to work effectively in a fast-paced, cross-functional environment.
Curiosity and willingness to explore emerging AI technologies and analytics innovations.
Education
Bachelor's or Master's degree in Computer Science, Information Systems, Healthcare Informatics, Analytics, Statistics, Engineering, or a related field.
Nice to Have
Power BI Certification
Azure Data Fundamentals or Azure Data Engineer Certification
Healthcare Analytics or Payment Integrity domain certifications
This profile is ideal for a BI professional who can bridge Healthcare Claims Analytics, Payment Integrity, Compliance Reporting, Power BI, SQL, and AI-driven analytics while advising stakeholders on enterprise-scale regulatory analytics solutions.
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $180,000 - $190,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Senior Business Intelligence Engineer Jobs by Experience Level
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Who's Hiring
- Amazon56

- Amazon Web Services10

- Cornerstone Research9

- Navy Federal Credit Union7

- JPMorganChase6

Top Industries Hiring
- Technology & Software33
- Consulting & Professional Services18
- Education12
- Healthcare & Medical Services12
- Manufacturing11
What Employers Look For
The qualifications that appear most often in senior business intelligence engineer jobs.
- Five or more years of experience in business intelligence, data analytics, or data engineering roles
- Advanced SQL proficiency including window functions, CTEs, and query optimization
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Proficiency with at least one BI visualization tool such as Tableau, Looker, or Power BI
- Experience with data modeling methodologies and tools including dbt or similar transformation frameworks
- Bachelor's degree in computer science, information systems, statistics, or a related quantitative field
Tips for Your Senior Business Intelligence Engineer Job Search
Tailor your resume to BI stack specifics
Generic data engineering resumes lose out. List the exact tools each employer uses, whether that's dbt, Looker, Snowflake, or Power BI, and quantify the scale of the data you worked with, such as row counts, refresh cadences, or dashboard user counts.
Highlight cross-functional stakeholder work
Senior BI roles require translating ambiguous business questions into structured data products. Show concrete examples where you worked directly with finance, marketing, or product teams to define KPIs, not just build what you were handed.
Apply early to roles that fit
Migrate Mate lists senior business intelligence engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your modeling approach
Some teams use Kimball dimensional modeling, others prefer OBT or activity schema patterns. Read job descriptions for clues about modeling philosophy before applying, because misalignment on this point surfaces in technical screens and causes real friction.
Prepare a take-home or live SQL case study
Most senior BI interviews include a SQL or data modeling exercise. Practice writing window functions, CTEs, and incremental model logic under time pressure, and be ready to explain your query choices out loud rather than just producing correct output.
Negotiate scope and tooling before accepting
Before signing, ask whether the team has established semantic layer ownership, data governance processes, and tool standardization. Joining a team mid-migration between tools or without clear BI ownership adds months of uncompensated technical debt work.
Senior Business Intelligence Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior business intelligence engineers?
The companies hiring the most senior business intelligence engineers right now include Amazon, Amazon Web Services, and Cornerstone Research, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at companies managing large-scale transactional or customer data across technology, financial services, and healthcare verticals.
How many senior business intelligence engineer jobs are remote?
About 67% of senior business intelligence engineer openings are fully remote or hybrid as of September 2026, reflecting strong demand for distributed data teams across the industry. Roles focused on cloud-native BI stack ownership and self-serve analytics platform development tend to offer the highest proportion of fully remote arrangements.
How do you become a senior business intelligence engineer?
Most senior business intelligence engineers start as analysts or junior data engineers, then build depth in SQL, cloud warehousing, and a major BI visualization tool over several years. Moving up requires owning end-to-end data products, not just fulfilling requests, and demonstrating that you can define data models and govern metric definitions independently. Earning a dbt certification or a cloud platform credential helps signal technical seniority to hiring teams.
Can you get hired as a senior business intelligence engineer without direct senior-level experience?
You can make a case for a senior role without an explicit senior title if you can show that you owned critical data infrastructure or led a BI migration project rather than contributing to one. Hiring managers weigh the complexity and business impact of your past work over job titles. A strong take-home exercise demonstrating advanced modeling and documentation practices can close gaps that a resume alone cannot.
What does the senior business intelligence engineer interview process look like?
Most processes run three to four rounds. An initial recruiter screen is followed by a technical phone interview covering SQL and data modeling concepts, then a take-home or live coding exercise involving schema design or dashboard architecture. Final rounds typically include a stakeholder or cross-functional panel where you walk through past projects and explain how you handled ambiguous or conflicting data requirements from business partners.
Where can I find and apply to senior business intelligence engineer jobs?
You can find and apply to senior business intelligence engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
See All 851+ Senior Business Intelligence Engineer Jobs
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