Data Analytics & BI Analyst — Hybrid Growth

Morningstar Credit Ratings, LLC

New York (NY)

Hybrid

USD 77,000 - 113,000

Full time

8 days ago
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Benefits offered by this job

401k match up to 6% of salary
Stock ownership potential
Comprehensive health benefits

Job summary

Morningstar seeks a data analytics professional to own product analytics for Morningstar Investor and Morningstar.com. You will track daily-to-yearly KPIs, build dashboards, and consolidate data from multiple sources to drive actionable insights and revenue growth.

The role emphasizes SQL-driven analysis, data visualization, and collaboration with engineering to surface meaningful metrics. Hybrid work is supported with strong benefits and development opportunities.

Qualifications

  • 2-5 years of experience in data analytics or BI.
  • Strong SQL skills for querying and analyzing large datasets.
  • Proficiency with Google Marketing Platform and Looker Studio.
  • Experience with Tableau or QuickSight.
  • Python or R for advanced data analysis.
  • Familiarity with AWS Redshift and Athena.
  • Understanding of subscription-based business models.

Responsibilities

  • Track and analyze KPIs to measure product performance and growth.
  • Build and evolve dashboards across Morningstar Investor and Morningstar.com.
  • Consolidate data from Google Suite, Redshift, Stripe, and AWS for automated reports.
  • Collaborate with engineering to surface and analyze insights.
  • Monitor data quality from third-party sources for reliability.
  • Conduct cohort analysis and LTV modeling to guide product decisions.

Skills

SQL
Python or R
Financial modeling
Forecasting
A/B testing
Data interpretation
Data cleansing

Tools

Google Analytics
Looker Studio
Tableau
QuickSight
AWS Athena
Redshift

Job description

Morningstar seeks a data analytics professional to own product analytics for Morningstar Investor and Morningstar.com. You will track daily-to-yearly KPIs, build dashboards, and consolidate data from multiple sources to drive actionable insights and revenue growth.

The role emphasizes SQL-driven analysis, data visualization, and collaboration with engineering to surface meaningful metrics. Hybrid work is supported with strong benefits and development opportunities.

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