Product Analytics & Growth Analyst

Morningstar, Inc.

Chicago (IL)

Hybrid

USD 74,325 - 126,350

Full time

14 days+
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Benefits offered by this job

100% 401(k) match up to 6%
Comprehensive health benefits
Trust-Based Time Off
6-week Paid Sabbatical Program
Tuition Reimbursement

Job summary

A leading financial services firm in Chicago seeks a Business Data Analyst to enhance product performance through data analytics. Responsibilities include tracking KPIs, building dashboards, and collaborating with cross-functional teams to drive strategic decisions. The ideal candidate has 2-5 years of experience in data analytics, strong SQL skills, and proficiency in data visualization tools. This role offers a competitive salary and a hybrid work environment that facilitates teamwork and collaboration.

Qualifications

  • 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.

Responsibilities

  • Track and analyze daily, weekly, monthly, and yearly KPIs to measure effectiveness.
  • Build and maintain dashboards for monitoring product metrics.
  • Collaborate with engineering to ensure data accuracy.

Skills

SQL
Data visualization tools
Analytical skills
Problem-solving
Python or R programming

Education

2-5 years in data analytics or business intelligence

Tools

Google Analytics
Tableau
AWS

Job description

life insurance, parental leave, tuition reimbursement, 401(k)

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.

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 Product, 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.

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.

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.

Why Join Us?

Be a key driver of growth in a data-driven, insight-rich environment.

Work with a team passionate about empowering investors.

Collaborate with cross-functional teams.

Join a mission-driven company dedicated to transparency and investor education.

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:

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 plansand coverages

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

Company-provided long- and short-termdisabilityinsurance

Emotional Health

Trust-Based Time Off

6-week Paid Sabbatical Program

6-Week Paid Family Caregiving Leave

Adoption Assistance

Leadership Coaching & FormalMentorshipOpportunities

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

Tuition Reimbursement

Social Health

Charitable Matching Gifts program

15+ Employee Resource & Affinity Groups

Total Cash Compensation Range

$74,325.00 - 126,350.00 USD Annual

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.

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 Product, 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.

Why Join Us?

  • Be a key driver of growth in a data-driven, insight-rich environment.

  • Work with a team passionate about empowering investors.

  • Collaborate with cross-functional teams.

  • Join a mission-driven company dedicated to transparency and investor education.

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 plansand coverages

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

    • Company-provided long- and short-termdisabilityinsurance

  • 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 & FormalMentorshipOpportunities

    • 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

Total Cash Compensation Range

$74,325.00 - 126,350.00 USD Annual

Inclusive of annual base salary and target incentive

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.

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