Data Analyst – Bengaluru, Karnataka

last updated January 27, 2026 18:52 UTC

Greenlight Financial Technology

HQ: Hybrid

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Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest.
At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.
We are looking for a Data Analyst to join our Data Platform Analytics team to partner with our product and business stakeholders across risk, operations, and other domains. We are looking for someone who thrives in taking on complex analytical problems with the initiative, problem-solving, and curiosity needed to find accurate and actionable insights. This role will focus on building scalable reporting and analytics foundations by taking data from disparate sources, improving clarity and consistency in metrics, and supporting better business decisions across core product areas.
This is the perfect opportunity for an individual passionate about data, who has the drive to solve complex problems and has the ability to grow alongside our team and our company. The ideal candidate can quickly identify trends in our data, develop creative solutions, and demonstrate the ability to effectively communicate their impacts on our business. We are seeking someone who is comfortable collaborating directly with stakeholders to understand business decisions and strategically identify and solve business problems — especially when the path forward isn’t fully defined. This will include data modeling, ad-hoc reporting, dashboard building, root-cause analysis, and data narrative story building.
This role will report directly to the Director of Analytics and Analytics Engineering.
What you will be doing:

    • Diving into internal consumer and product data to help speed up decision making and move key business metrics. Explain the “what” and “why” of data results.
    • Monitoring current reports, models, and key datasets for accuracy, usage, and consistency as business needs evolve.
    • Making connections between data that might seem unrelated, thinking creatively, and working through ambiguity to get to the right answer.
    • Using your skills to clearly explain your findings by turning messy questions and complex results into clear insights, recommendations, and next steps.
    • Owning analytics models in dbt by building and maintaining analytics models that capture business logic in a scalable, reusable way to power dashboards, reporting, and stakeholder self-serve.
    • Bridging gaps between the data and the business by working with cross-functional teams across the US and India office to create and communicate actionable, data-based insights.
    • Building and maintaining dashboards and other BI solutions using tools available in the landscape including and not limited to Tableau and Snowflake.
    • Creating all required documentation on projects and keeping documentation up to date on any existing report changes and facilitating training & rollout of new tools.
What you should bring:

    • 4+ years of data analytics experience with great analytical instincts and the ability to glean insights from large swaths of data.
    • Hands-on experience with SQL and advanced skills that allow you to easily extract data from multiple data sources for analysis and visualization.
    • Excellent data visualization skills, preferably using Tableau, and familiarity with best-in-class dashboarding techniques.
    • Experience working cross-functionally with other teams and departments. This position will require bringing different disciplines and points of view together, as well as balancing competing priorities and deadlines.
    • Experience communicating with collaborators at all levels, from IC engineers to members of our executive team.
    • An ownership mentality – this analyst will be the expert of the data in their product space and expected to fully understand related data, definitions, and their implications on the business.
    • A proactive mindset. While tickets are assigned, analysts are expected to independently drive their work forward, ask thoughtful questions, and bring structure to ambiguous problems.
Nice to have:

    • Experience with dbt, including ownership of analytics models that encode business logic and support scalable reporting resources.
    • Familiarity with data modeling concepts (e.g., dimensional modeling, curated datasets, metric definitions, semantic layer).
    • Proficiency in Python for statistical analysis and automation.
Who we are:
It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help parents raise a financially smart generation, apply to join our team.
Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.
Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email recruiting@greenlight.me.
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