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Morningstar

Manager of Software Engineering and Analytics

Posted 2 Hours Ago
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Hybrid
Mumbai, Maharashtra, IND
Expert/Leader
Hybrid
Mumbai, Maharashtra, IND
Expert/Leader
Leads six full-stack developers building and maintaining a fintech website while owning GA4, SQL-based analytics, ETL pipelines, dashboards, data quality, and business insights. Sets technical direction, oversees architecture, performance, reliability, and security, partners with Product, UX, and Marketing, manages the website and analytics roadmap, and coaches engineers through hiring, development, and performance management.
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About the Role


We are looking for a Manager, Software Engineering & Analytics to lead the development of our fintech website while owning the analytics and data insights that guide its evolution.

Our website delivers data, research, and tools that help individual investors achieve their investing goals. In this role, you will lead a team of six full‑stack developers responsible for building and maintaining the website, while you personally act as the data and analytics expert, responsible for measurement, insight, and decision support.


This is a senior, hybrid role requiring strong full‑stack engineering capability to lead effectively, combined with deep analytics expertise to remain hands‑on with data, queries, and dashboards.


What You’ll Be Doing


Engineering Leadership (Website Development)

  • Lead and manage a team of six full‑stack developers responsible for the website
  • Set technical direction and standards across frontend and backend development
  • Own the architecture, performance, reliability, and security of the website platform
  • Review code, guide design decisions, and ensure engineering best practices are followed
  • Partner with Product and UX to translate roadmap requirements into high‑quality delivery

Hands‑On Analytics & Data Ownership (Individual Contributor)

  • Act as the primary analytics and data expert for the website
  • Own and maintain Google Analytics (GA4) configuration, tracking strategy, and core reporting
  • Write complex SQL queries (e.g. in Athena) against clickstream and event‑level data
  • Design, build, and maintain ETL processes and data pipelines to ingest, transform, and model analytics data from multiple sources into reliable, analysis‑ready datasets
  • Design, build, and maintain dashboards used by Marketing, Product, and Leadership
  • Analyse user behaviour, funnels, and campaign performance to generate actionable insights

Strategy, Roadmap & Decision Support

  • Own the website and analytics roadmap, balancing new features, technical health, and insight needs
  • Ensure analytics is built into features by design, not added retroactively
  • Partner closely with Marketing to measure campaign effectiveness and customer journeys
  • Use data to inform prioritisation, product decisions, and investment trade‑offs

Quality, Governance & Reliability

  • Ensure high standards of data quality, tracking accuracy, and reporting consistency
  • Establish guardrails around metrics definitions and dashboards
  • Champion performance, observability, and operational excellence across the website

People Leadership & Culture

  • Coach, mentor, and develop engineers with varying experience levels
  • Create clarity on goals, expectations, and career growth
  • Foster a culture of ownership, collaboration, and continuous improvement
  • Support hiring, onboarding, and performance management

What We’re Looking For


Experience

  • 8–12+ years experience across software engineering and analytics roles
  • 3+ years experience leading software engineering teams
  • Demonstrated ownership of customer‑facing websites or digital platforms
  • Experience in fintech, data‑heavy platforms, or SaaS environments preferred

Engineering Skills

  • Strong full‑stack development background, with the ability to:
    • Review and guide frontend and backend code
    • Make sound architectural decisions
    • Mentor engineers across the stack
  • Experience with modern web architectures and cloud‑based platforms (AWS preferred)

Analytics & Data Expertise

  • Deep, hands‑on experience with Google Analytics (GA4)
  • Strong SQL skills, particularly with large clickstream or event datasets (Athena or similar)
  • Ability to connect analytics outputs directly to business and product decisions

Leadership & Communication

  • Credible with senior engineers and business stakeholders
  • Comfortable switching between strategic thinking and hands‑on execution
  • Clear communicator who can explain both technical and data concepts simply
  • Strong judgment and ability to balance competing priorities

Nice to Have

  • Experience designing analytics‑friendly event schemas
  • Familiarity with experimentation, attribution, or customer funnel analysis
  • Understanding of privacy, consent, and analytics governance

Why This Role Is Unique

  • Lead a full‑stack engineering team while remaining a hands‑on data leader
  • Shape how a fintech platform serves and informs individual investors
  • Influence product, marketing, and technology strategy through insight
  • Work at the intersection of engineering execution and data‑driven decision‑making

Morningstar is an equal opportunity employer. 

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.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar Navi Mumbai, Maharashtra, IND Office

Morningstar Mumbai - Platinum Park Office

Platinum Techno Park, Vashi, Navi Mumbai, Maharashtra, India, 400703

Morningstar Navi Mumbai, Maharashtra, IND Office

Morningstar Mumbai - Vishwaroop Office

Vishwaroop IT Park, Sector 30, Vashi, Navi Mumbai, Mahārāshtra, India, 400 703

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