Business Intelligence Lead Jobs
Business intelligence lead jobs are open across healthcare, financial services, retail, and technology, from mid-level analyst to senior and director, with specializations in data visualization, predictive analytics, and enterprise reporting. Find a role that fits from the openings below and apply directly.
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Showing 5 of 125+ Business Intelligence Lead jobs
INTRODUCTION
Lead BI architecture and solution design conversations with clients, acting as the primary technical authority on data and analytics platforms.
ROLE AND RESPONSIBILITIES
- Design, build, and optimize Power BI semantic models and Tableau data sources for enterprise-scale performance and maintainability.
- Write and optimise complex DAX measures, M/Power Query transformations, and SQL queries to support accurate, high-performance reporting.
- Diagnose and resolve data model issues — slow DAX, broken relationships, cardinality problems, and upstream data quality issues — quickly and systematically.
- Architect dimensional data models (star schema, fact/dimension design) and semantic layers consumed across multiple BI tools.
- Drive self-service BI capability: certify datasets, define governed metrics, and build enablement programmes so business teams can explore data independently.
- Define BI deployment standards, CI/CD pipelines, and release governance to ensure reliable and secure analytics delivery.
- Partner with data engineering teams to design analytics-ready data structures and resolve data issues at source.
- Establish data governance frameworks covering data quality standards, metadata management, access controls, and KPI standardization across business units.
- Mentor BI developers through code and model reviews, sharing DAX, SQL, and design best practices to raise overall team capability.
BASIC QUALIFICATIONS
MUST-HAVE SKILLS
- Power BI
- Semantic model design and optimisation: star-schema modelling, reducing cardinality, managing relationships, aggregations, and composite models.
- Advanced DAX: efficient, reusable measures; evaluation context; CALCULATE; iterator functions; time intelligence patterns.
- M / Power Query: advanced transformations, query folding, incremental refresh, parameter-driven pipelines.
- Power BI Service governance: certified datasets, deployment pipelines, workspaces, row-level security, gateways, and refresh scheduling.
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Self-service BI: promoting dataset reuse and enabling business users to build their own reports without IT dependency.
-
Tableau
- Dashboard and data source design for enterprise-scale reporting.
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Tableau Server / Tableau Cloud governance, published data sources, and performance optimisation.
-
SQL & Data Architecture
- Strong SQL: complex queries, CTEs, window functions, query optimisation, and reading execution plans.
- Data warehouse and dimensional modelling: fact/dimension design, schema validation, and data lineage.
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ETL/ELT understanding: diagnosing and resolving upstream data issues that affect BI layers.
-
Communication & Stakeholder Engagement
- Comfortable presenting architecture, data strategy, and roadmaps to client executives and technical leaders.
- Skilled at requirements gathering from non-technical stakeholders and translating them into scalable BI solutions.
- Experience leading architecture reviews, discovery workshops, and solution design sessions.
PREFERRED QUALIFICATIONS
GOOD TO HAVE
- Snowflake: query optimisation, warehouse sizing, and integrating Snowflake with Power BI or Tableau via DirectQuery or native connectors.
- Sigma Computing: cloud-native self-service analytics on Snowflake; governed metrics, semantic model integration, and business user enablement.
- Experience connecting Sigma Computing with existing Power BI and Tableau ecosystems without creating governance gaps or data duplication.
- Working knowledge of policy lifecycle, claims, underwriting, premiums, loss ratios, and combined ratio.
- Ability to translate insurance business questions into structured KPIs, metrics hierarchies, and dashboard designs.
INTRODUCTION
Lead BI architecture and solution design conversations with clients, acting as the primary technical authority on data and analytics platforms.
ROLE AND RESPONSIBILITIES
- Design, build, and optimize Power BI semantic models and Tableau data sources for enterprise-scale performance and maintainability.
- Write and optimise complex DAX measures, M/Power Query transformations, and SQL queries to support accurate, high-performance reporting.
- Diagnose and resolve data model issues — slow DAX, broken relationships, cardinality problems, and upstream data quality issues — quickly and systematically.
- Architect dimensional data models (star schema, fact/dimension design) and semantic layers consumed across multiple BI tools.
- Drive self-service BI capability: certify datasets, define governed metrics, and build enablement programmes so business teams can explore data independently.
- Define BI deployment standards, CI/CD pipelines, and release governance to ensure reliable and secure analytics delivery.
- Partner with data engineering teams to design analytics-ready data structures and resolve data issues at source.
- Establish data governance frameworks covering data quality standards, metadata management, access controls, and KPI standardization across business units.
- Mentor BI developers through code and model reviews, sharing DAX, SQL, and design best practices to raise overall team capability.
BASIC QUALIFICATIONS
MUST-HAVE SKILLS
- Power BI
- Semantic model design and optimisation: star-schema modelling, reducing cardinality, managing relationships, aggregations, and composite models.
- Advanced DAX: efficient, reusable measures; evaluation context; CALCULATE; iterator functions; time intelligence patterns.
- M / Power Query: advanced transformations, query folding, incremental refresh, parameter-driven pipelines.
- Power BI Service governance: certified datasets, deployment pipelines, workspaces, row-level security, gateways, and refresh scheduling.
-
Self-service BI: promoting dataset reuse and enabling business users to build their own reports without IT dependency.
-
Tableau
- Dashboard and data source design for enterprise-scale reporting.
-
Tableau Server / Tableau Cloud governance, published data sources, and performance optimisation.
-
SQL & Data Architecture
- Strong SQL: complex queries, CTEs, window functions, query optimisation, and reading execution plans.
- Data warehouse and dimensional modelling: fact/dimension design, schema validation, and data lineage.
-
ETL/ELT understanding: diagnosing and resolving upstream data issues that affect BI layers.
-
Communication & Stakeholder Engagement
- Comfortable presenting architecture, data strategy, and roadmaps to client executives and technical leaders.
- Skilled at requirements gathering from non-technical stakeholders and translating them into scalable BI solutions.
- Experience leading architecture reviews, discovery workshops, and solution design sessions.
PREFERRED QUALIFICATIONS
GOOD TO HAVE
- Snowflake: query optimisation, warehouse sizing, and integrating Snowflake with Power BI or Tableau via DirectQuery or native connectors.
- Sigma Computing: cloud-native self-service analytics on Snowflake; governed metrics, semantic model integration, and business user enablement.
- Experience connecting Sigma Computing with existing Power BI and Tableau ecosystems without creating governance gaps or data duplication.
- Working knowledge of policy lifecycle, claims, underwriting, premiums, loss ratios, and combined ratio.
- Ability to translate insurance business questions into structured KPIs, metrics hierarchies, and dashboard designs.
See All 125+ Business Intelligence Lead Jobs
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Find JobsBusiness Intelligence Lead Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Selective Insurance5
- Humana4
- Tiger Analytics4
- UCB4
- Salesforce3
Top Industries Hiring
- Technology & Software36
- Consulting & Professional Services17
- Insurance14
- Biotechnology & Pharmaceuticals8
- Healthcare & Medical Services6
What Employers Look For
The qualifications that appear most often in business intelligence lead jobs.
- 5 or more years of experience in business intelligence, analytics, or a related data role
- Proficiency in at least one major BI tool such as Tableau, Power BI, or Looker
- Advanced SQL skills for querying, transforming, and modeling large datasets
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Demonstrated ability to lead cross-functional projects or mentor junior analysts
- Bachelor's degree in a quantitative field such as statistics, computer science, or business analytics
Tips for Your Business Intelligence Lead Job Search
Quantify impact on your resume
Hiring managers for business intelligence lead roles want to see outcomes, not activities. Replace phrases like 'built dashboards' with the decision those dashboards drove or the time they saved stakeholders. Concrete results tied to business outcomes outperform tool lists.
Apply early to roles that fit
Migrate Mate lists business intelligence lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight cross-functional stakeholder work
Business intelligence lead postings almost always require experience translating data findings for non-technical audiences. Call out specific examples where you presented BI insights to finance, operations, or executive stakeholders and influenced a decision.
Target listings by their primary BI stack
Filter openings by the tools named in the job description, whether that is Power BI, Tableau, Looker, or a cloud warehouse like Snowflake or BigQuery. Applying to roles where you already know the stack shortens your ramp and signals readiness from day one.
Prepare a portfolio of BI deliverables
Bring two or three annotated examples of dashboards, data models, or reports you built, along with the business question each one answered. Interviewers for lead-level roles expect to evaluate your design decisions and the rationale behind them, not just your technical output.
Negotiate scope before you negotiate salary
Before discussing compensation in a business intelligence lead offer, clarify team size, data infrastructure maturity, and whether you own the roadmap or execute someone else's. Scope gaps between what the role promises and what it delivers are the most common source of early dissatisfaction in BI leadership positions.
Business Intelligence Lead Jobs: Frequently Asked Questions
Which companies are hiring the most business intelligence leads?
The companies hiring the most business intelligence leads right now include Selective Insurance, Humana, and Tiger Analytics, with the largest share of openings in New York, California, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in healthcare systems, financial services firms, and large technology companies that maintain mature data infrastructure.
How many business intelligence lead jobs are remote?
About 43% of business intelligence lead openings are fully remote or hybrid as of June 2026, making it one of the more flexible data leadership roles. Fully remote arrangements are most common in enterprise reporting, self-service analytics, and roles tied to cloud-native data stacks where collaboration happens asynchronously across distributed teams.
How do you become a business intelligence lead?
Start by building deep proficiency in SQL and at least one BI platform, then move into roles where you own a reporting domain end to end rather than executing requests. Demonstrate leadership by mentoring analysts, driving data governance standards, and presenting findings directly to business stakeholders. Over time, take on projects that require you to set the BI strategy, not just build the deliverables.
Can you get hired as a business intelligence lead without much experience?
It's uncommon to step directly into a lead title without prior BI work, but candidates coming from adjacent roles in data analysis, data engineering, or financial reporting can be competitive if they can show end-to-end ownership of an analytics product. Targeting smaller organizations or high-growth companies where the BI function is still being built gives you the best path to a first lead role.
What does the business intelligence lead interview process look like?
Most business intelligence lead interviews include an initial recruiter screen focused on experience and tools, a technical round covering SQL and data modeling, and a case or take-home exercise where you build or critique a dashboard. Final rounds typically involve a presentation of your case work to a hiring panel and a conversation about how you would structure or mature the BI function at that organization.
Where can I find and apply to business intelligence lead jobs?
You can find and apply to business intelligence lead jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and tools, then apply directly to each listing. There is no separate sign-up step required before you apply.
See All 125+ Business Intelligence Lead Jobs
Jump back to the full list of openings and apply to any business intelligence lead role that fits.
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