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Bi Manager Jobs in Mount Prospect, IL (NOW HIRING)

BI Architect

Oakbrook Terrace, IL · On-site

$140K - $165K/yr

Manage platform administration including capacities, gateways, deployment pipelines, workspace ... Background leading BI development teams or mentoring developers. * Experience managing enterprise ...

Strong business analysis and stakeholder management skills, with the ability to translate executive ... Power BI, Fabric, Azure Data Engineer, Azure Solutions Architect, or related Microsoft ...

Create interactive visualizations for utilization management metrics, claims * analytics, and ... Power BI Development: 2-4 years building dashboards, reports (stand-alone) * and paginated), and ...

Strong business analysis and stakeholder management skills, with the ability to translate executive ... Power BI, Fabric, Azure Data Engineer, Azure Solutions Architect, or related Microsoft ...

Strong business analysis and stakeholder management skills, with the ability to translate executive ... Power BI, Fabric, Azure Data Engineer, Azure Solutions Architect, or related Microsoft ...

... management matching, merging, consolidation, purging, and cleansing and extraction, transformation, and loading (ETL) functionality Apply Microsoft BI expertise in system architecture design and ...

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Bi Manager information

See Mount Prospect, IL salary details

$29.3K

$113.5K

$166.4K

How much do bi manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for bi manager in Mount Prospect, IL is $113,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,400.00 and $141,600.00 per year, depending on experience, location, and employer.

What is the difference between Bi Manager vs Data Analyst?

AspectBi ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Data Science, or related field; often prefers experience in BI toolsBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentLeads BI teams, collaborates with management, oversees reporting systemsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, retail, and tech industriesWidely used across industries for data-driven insights

The Bi Manager focuses on leading BI teams and strategic implementation of business intelligence solutions, while Data Analysts primarily analyze data and generate reports to support business decisions. Both roles require strong analytical skills, but the Bi Manager has more leadership responsibilities and strategic oversight.

What is a BI manager?

BI Managers, or Business Intelligence Managers, oversee the strategy, implementation, and management of business intelligence systems within an organization. They lead teams that analyze data to help companies make informed business decisions and improve processes. Their responsibilities include managing BI tools, coordinating data analysis projects, and ensuring that data-driven insights align with organizational goals. BI Managers often collaborate with IT, business stakeholders, and executive leadership to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a BI manager, and why are they important?

To thrive as a BI Manager, you need strong analytical skills, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with BI tools such as Power BI, Tableau, SQL, and data warehousing systems, as well as certifications like CBIP, are typically required. Leadership, communication, and problem-solving skills help BI Managers effectively guide teams and translate business needs into data-driven solutions. These abilities are crucial for delivering actionable insights and driving strategic decision-making within organizations.

How to become a business intelligence manager?

To become a business intelligence manager, candidates typically need a bachelor's degree in fields like computer science, data analysis, or business administration, along with several years of experience in data analysis or BI roles. Developing skills in data visualization tools such as Tableau or Power BI, understanding databases and SQL, and obtaining certifications like Certified Business Intelligence Professional can enhance prospects for this role.

How do BI managers typically collaborate with other departments to ensure data-driven decision-making?

BI Managers regularly work with stakeholders across departments such as marketing, finance, and operations to understand their data needs and provide actionable insights. They facilitate communication between technical teams (like data analysts and engineers) and business units, ensuring that data solutions align with organizational goals. This collaboration often involves gathering requirements, delivering reports or dashboards, and providing training to non-technical users. Strong interpersonal and project management skills are essential for BI Managers to bridge gaps and drive effective data-driven strategies.
What cities near Mount Prospect, IL are hiring for Bi Manager jobs? Cities near Mount Prospect, IL with the most Bi Manager job openings:
Infographic showing various Bi Manager job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $113,516 per year, or $54.6 per hour.

BI Technical Lead/ Architect

Trova Search

Oakbrook Terrace, IL • On-site

Other

Posted 5 days ago


Job description

MUST CURRENTLY RESIDE IN IL. 

Overview

This is a hands-on senior technical role that owns the design integrity of our BI environment — the gold (reporting) layer of our warehouse, the semantic (Tabular) models that power Power BI and Fabric, and the DAX and report standards our development team builds to.

This is a builder and standard-bearer role, not a people-management role. You set the technical bar, own the hardest modeling and design decisions, serve as the escalation point for our BI developers and analysts, and provide day-to-day technical direction to two offshore development consultants. You do not manage headcount, staffing, or performance — that sits with the BI manager, who leads the team.

You partner closely with Data Engineering, who deliver clean, conformed data into the silver layer through their ingestion and ETL pipelines. From there you own the gold (reporting) layer: you write the SQL that shapes that data into the dimensional models our analytics run on. You bring the reporting-modeling judgment that turns well-moved data into a warehouse people can actually analyze.

What you own

Own the gold (reporting) layer. Using Kimball methodology, you design and build — in SQL — the gold layer of our Enterprise Data Warehouse: the fact and dimension tables, conformed dimensions, star schemas, and reporting-ready views that sit on top of the silver layer. You write this SQL yourself (complex T-SQL, views, and stored procedures) and performance-tune it. Data Engineering delivers clean, conformed data into silver through their ingestion and ETL pipelines; you transform it into the dimensional model that reporting depends on. You do not build or own the ingestion / ETL pipelines.

The semantic layer. You design, own, and continuously tune every Tabular semantic model in Power BI Premium and Microsoft Fabric — relationships, storage-mode strategy (Import / DirectQuery / Direct Lake), Row-Level and Object-Level Security, and performance / VertiPaq optimization. You are the single escalation point for all semantic-model issues.

BI development standards. You establish the standards our developers build to — modeling patterns, naming conventions, DAX patterns, report design, and performance thresholds — and you uphold them through regular, cadenced reviews (not line-by-line review of everything). Our developers write the DAX day to day; you set the bar, review on a schedule, resolve escalations, and personally tune the most complex measures and reports.

Technical direction of two offshore consultants. You assign their work, review their designs and code, and ensure their deliverables meet platform standards.

Release quality. You author deployment plans with rollback procedures, validation criteria, and dependency mapping across Dev, Test, and Production; you lead postmortems and drive root-cause analysis to closure. (Final release approval rests with the BI manager.)

Platform compliance and audit readiness. You maintain readiness against HIPAA and enterprise security standards through regular review of Power BI Activity Logs, usage metrics, and user behavior.

Technical input to platform direction. You provide tool and platform-evolution recommendations that inform the BI manager’s multi-year roadmap and investment decisions. (The manager owns the roadmap and the investment business cases; you supply the technical judgment behind them.)

Requirements partnership. You gather reporting requirements from business stakeholders, translate them into model designs, and estimate effort.

Qualifications

•     8+ years designing and building relational and dimensional data models using Kimball methodology, with a demonstrated track record of shaping data for reporting (not just consuming existing models).

•     Expert-level Microsoft SQL Server T-SQL — complex queries, views, and stored procedures — used to build, own, and performance-tune the gold / reporting layer of the warehouse. (This role writes the gold-layer SQL; Data Engineering owns ingestion and ETL for the bronze and silver layers — see “Explicitly not part of this role” below.)

•     5+ years of hands-on Power BI development — semantic model design, advanced DAX, and performance tuning with DAX Studio and Tabular Editor.

•     5+ years with Power BI Datasets / SSAS Tabular, including Row-Level Security and Object-Level Security.

•     Hands-on Microsoft Fabric experience (Lakehouse, Warehouse, Direct Lake, OneLake) and sound judgment on when to apply Import, DirectQuery, or Direct Lake.

•     Experience with Power BI deployment pipelines, Git source control, and workspace lifecycle management across Dev, Test, and Production.

•     Excellent written and verbal communication, with the ability to produce technical and business documentation others can act on independently.

•     Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.

Helpful, but not required (Data Engineering owns the build): familiarity with Azure data-pipeline patterns (Data Lake → Synapse) and SSIS, enough to collaborate effectively.