Associate Business Intelligence Analyst

Savant•Rockford, IL

About The Position

Savant Wealth Management is seeking an early-career Associate Business Intelligence Analyst to support its Business Intelligence team. The role focuses on reporting, dashboarding, data validation, and analytics, with opportunities to turn data into clear, actionable insights and develop toward a Business Intelligence Analyst role. The analyst supports BI Analysts and Senior Analysts and works with teams across the organization to deliver accurate and timely business intelligence solutions. The position may be fully remote; the preferred location is near a Savant office, with Rockford as the primary location. Candidates near Rockford, Kansas City, or in the Central Standard Time Zone will be prioritized. Other office locations may be considered based on team presence and available space. The expected base salary range is $65,000–$90,000, with final pay based on experience, skills, and location. The position may also be eligible for incentive compensation based on responsibilities and performance. Candidates must be authorized to work for any U.S. employer; visa sponsorship is unavailable.

Requirements

Bachelor’s degree in Analytics, Data Science, Computer and Information Science, Business Analytics, or a related field; equivalent education and relevant experience will be considered.
Foundational knowledge of business intelligence, data analytics, or analytics engineering.
Hands-on experience or demonstrated exposure to Power BI, Microsoft Azure, and Microsoft Fabric through coursework, internships, projects, or professional experience.
Working knowledge of SQL and familiarity with data warehouses, data lake environments, or similar analytics platforms.
Proficiency with Microsoft Office, particularly Excel.
Strong analytical and problem-solving skills, including the ability to interpret data and communicate insights clearly to technical and nontechnical audiences.
Ability to collaborate across teams, manage multiple priorities, and work effectively in a project-based environment.
Curiosity, eagerness to learn, and interest in building technical expertise in business intelligence and emerging technologies.
Authorization to work for any employer in the United States; visa sponsorship is not available.

Nice To Haves

Basic familiarity with responsible AI use, including prompting, data privacy, security, and AI governance.
Experience or interest in working with remote or offshore analytics teams.
Exposure to regulated, audit-sensitive, or compliance-driven environments.
Internships, academic projects, or professional experience relevant to analytics or business intelligence.

Responsibilities

Assist in developing and supporting Power BI dashboards, reports, datasets, and analytics deliverables used across the firm.
Analyze and interpret financial services and wealth management data to support strategic, financial, and operational decisions.
Partner with internal departments, business stakeholders, technology teams, and analytics partners to support accurate and timely BI solutions.
Support project-based analytics by helping gather requirements, define scope, track timelines, and ensure deliverables meet business needs.
Conduct ad-hoc analysis, validate data, audit report outputs, and help identify or troubleshoot data quality issues.
Maintain documentation for validation procedures, audit results, reporting standards, and known data quality items.
Identify opportunities to improve efficiency through automation, AI-assisted analytics, and modern BI tools.

Benefits

Medical, dental, and vision coverage with multiple plan options, effective day one.
Health Savings Account (HSA) or Flexible Spending Account (FSA).
Company-paid life insurance, AD&D, and disability coverage.
401(k) with company match, with Roth and Traditional options.
Team-based incentive opportunities and recognition programs.
Generous paid time off and at least 10 paid holidays.
Annual Savantiversary day.
Summer Hours with shorter work weeks during the summer.
Parental leave, personal leave, and other life-event support.
Employee Assistance Program (EAP).
Wellness reimbursements, such as gym memberships.
Flexible Dress for Your Day approach.
Potential additional incentive compensation based on responsibilities and performance.