Business Analyst

Morningstar; New York (NY); Hybrid; USD 77,000 - 113,000; Full time

Benefits offered by this job

401k match up to 6%

Stock ownership potential

Life insurance

Health benefits

Wellness incentives

Disability insurance

Sabbatical program

Parental leave

Tuition reimbursement

Diversity groups

Volunteer days

Job summary

Morningstar is seeking a Business Data Analyst to drive analytics across Morningstar Investor and Morningstar.com, building KPIs, dashboards, and forecasting models. You will own data pipelines, collaborate with engineering, and surface insights to optimize acquisition and retention.

You will work with SQL, GA, Looker Studio, and AWS to deliver data-driven recommendations and financial projections, supporting product and marketing strategies.

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 (Google Analytics, Google Ads, Looker Studio)
• Experience 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 translating data into business recommendations
• Experience with AWS (Athena, Redshift, QuickSight) for data analysis
• Familiarity with A/B testing tools and tracking platforms
• Programming experience in Python or R
• Knowledge of subscription-based business models and customer retention metrics

Responsibilities

• Track and analyze KPIs daily, weekly, monthly, and yearly to measure product performance
• Build and evolve dashboards monitoring trials, subscriber growth, page views, engagement, and on-site behavior
• Consolidate data from diverse sources (Google suite, Redshift, Stripe, AWS) to create automated reporting
• Collaborate with engineering to surface and analyze insights
• Monitor and validate data from third-party sources for accuracy
• Define baseline targets and use data-driven insights to optimize acquisition and retention
• Conduct cohort analysis, LTV modeling, and retention analysis to inform product investment
• Develop and maintain forecasting models to project revenue growth and subscription trends

Skills

SQL

GA/GA4

Looker Studio

Tableau/Quicksight

Python/R

AWS (Athena/Redshift)

A/B testing tools

Tools

Google Tag Manager

Job description

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.

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

$77,163.00-$113,178.33

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.

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