Unlock what's already in you
Morningstar Logo

Morningstar

Business Analyst

Reposted 4 Hours Ago
Hybrid
New York, NY
100K-500K Annually
Mid level
Hybrid
New York, NY
100K-500K Annually
Mid level
Analyzes product, visitor, subscriber, acquisition, engagement, and retention data across Morningstar’s investor products. Builds KPI dashboards, automated reporting, forecasting and financial models, cohort and lifetime-value analyses, and SQL-based data pipelines. Partners with engineering and data teams to improve tracking, data infrastructure, and reporting accuracy. Uses insights to optimize pricing, marketing spend, customer acquisition, product engagement, and retention strategies.
The summary above was generated by AI

About Morningstar and the Individual Investor Business

Morningstar’s Individual Investor business empowers investors with data, research, and tools to help them make informed financial decisions. Our flagship Morningstar Investor platform provides deep insights, portfolio tracking, and investment research, while Morningstar.com serves as a hub for market news, analysis, and educational content.


*NOTE: We’re not considering candidates who require sponsorship now or in the future.


The Role

We are seeking a Business Data Analyst to bring analytical rigor to our product efforts. The role will help us measure performance, analyze visitor and subscriber behavior, and optimize customer acquisition and retention efforts. This role will own data analytics architecture, reporting, forecasting models, user behavior analysis, and work cross-functionally to enhance our product and marketing strategies.

You will be responsible for building and tracking KPIs across Morningstar Investor, Morningstar.com, and our broader suite of investor products, implementing analytics solutions, and driving insights that support strategic decision-making. This role will report to the Head of Revenue and will partner with the engineering team to ensure seamless tracking and reporting.


Key Responsibilities

Data Analytics & Reporting

• Track and analyze daily, weekly, monthly, and yearly KPIs to measure the product’s effectiveness and progress toward growth goals.

• Build, maintain and continuously evolve dashboards that monitor trials, subscriber growth, page views, engagement, and on-site behavior across Morningstar Investor and Morningstar.com to meet the needs of the product.

• Consolidate data from various sources such as Google suite, Redshift, Stripe, and AWS to create automated reporting solutions that provide actionable insights.

• Collaborate with the engineering team to design solutions to better surface and analyze these insights.

• Monitor and validate data from third-party sources to ensure accuracy and reliability.

• Define baseline targets and use data-driven insights to optimize acquisition, engagement, and retention strategies.

• Conduct cohort analysis, customer lifetime value (LTV) modeling, and retention analysis to inform product investment decisions.

Forecasting & Financial Modeling

• Develop and maintain financial forecasting models to project revenue growth and subscription trends over the next three years based on historical data and market assumptions.

• Evaluate the impact of pricing, marketing spend, and customer acquisition efforts on financial performance.

Data Infrastructure & Collaboration

• Work with engineering and data teams to build and maintain a centralized data infrastructure that supports product analytics.

• Define and implement data tracking solutions using Google Tag Manager (GTM) and SQL-based data pipelines.

Qualifications & Skills

• 2-5 years of experience in data analytics or business intelligence.

• Strong experience in SQL for querying and analyzing large datasets.

• Proficiency in Google Marketing Platform (Google Analytics, Google Ads, Looker Studio).

• Experience working with data visualization tools (Tableau, QuickSight, Looker Studio).

• Strong analytical skills, including financial modeling, forecasting, and trend analysis.

• Ability to clean, structure, and interpret large datasets to generate actionable insights.

• Strong problem-solving skills and ability to translate data into business recommendations.

• Experience with AWS (Athena, Redshift, QuickSight) for data analysis.

• Familiarity with A/B testing tools (Google Optimize, Optimizely) and tracking platforms.

• Programming experience in Python or R for advanced data analysis.

• Knowledge of subscription-based business models and customer retention metrics.

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health 

    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-term disability insurance

  • Emotional Health 

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & Formal Mentorship Opportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health 

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Base Salary Compensation Range$79,488.00-$116,573.33

Incentive Target Percentage

7.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

001_MstarInc Morningstar Inc. Legal Entity
HQ

Morningstar Chicago, Illinois, USA Office

Morningstar Global Headquarters Office

22 West Washington Street, Chicago, IL, United States, 60602

Morningstar’s Chicago office is the company’s headquarters, bringing together teams across research, technology, product, sales, corporate functions, and more. Employees work in a mission-driven culture shaped by independent thinking, openness, and fact-based decision-making, with the energy of a downtown location and opportunities to connect across teams.

Software Engineering

Software engineers at Morningstar build and maintain the applications that power the firm's work, and they do it in a culture built on independent thinking, evidence-based decisions, and continuous learning. Engineers are trusted to bring their own perspective and judgment to how the work gets done. That's not incidental to the culture here; it's central to it.

Product Manager

Product managers at Morningstar sit at the center of decisions that shape what gets built, and how it works. In Chicago, product managers work across areas including Credit Ratings; Data, Analytics & Research; Indexes; Investment Management & Services; and Corporate. Product managers are trusted to define what problems are worth solving and bring their own judgement to every stage of the process.

Research

Research at Morningstar spans markets, asset classes, and disciplines, all connected by the same purpose: give investors what they need to make confident decisions. Our independent research covers equities, managed investments, fixed income, alternatives, private markets, ESG and climate, and credit ratings. Analysts bring their own judgment to complex questions, and that independence is central to how the work gets done.

Similar Jobs at Morningstar

100K-500K Annually
Entry level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Supports structured finance methodology development, AI-enabled solution adoption, analytical investigations, testing, documentation, and workflow automation. Creates executive dashboards, visualizations, presentations, and quantitative analyses while coordinating across analytics, technology, business, and governance teams. The role requires strong organization, analytical problem-solving, communication, and curiosity about generative AI, structured finance, and software development lifecycles.
Top Skills: Ai-Assisted Coding ToolsAsanaGenerative AiJIRALow-Code/No-Code ToolsPythonSQLWorkflow Automation
20 Days Ago
Hybrid
100K-500K Annually
Senior level
100K-500K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Analyze U.S. residential mortgage-backed securities transactions for credit ratings, evaluating collateral, deal structures, credit enhancements, legal frameworks, and key credit risks. Present findings to rating committees, conduct modeling, sensitivities, comparisons, and stress testing, and contribute to analytical methodologies. Produce market commentary and engage with bankers, issuers, investors, and other market participants.
Top Skills: ExcelMS Office
22 Days Ago
Hybrid
113K-179K Annually
Senior level
113K-179K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Leads credit analysis, surveillance, and new rating assignments across sports franchises, stadiums, sports media, project finance, and infrastructure transactions. Evaluates financing structures, financial performance, legal documentation, and credit risks; develops rating recommendations; presents to rating committees; produces reports and research; engages issuers, investors, and market participants; contributes to methodologies; represents the firm externally; and mentors junior analysts.

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account