# Sr. Data Analyst

**Company**: EarnIn
**Location**: Bengaluru, India
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Our salary ranges are determined by role, level, and location.
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7958872?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_18cc0b82-530

## Description

Join us in a high-impact role to drive growth at EarnIn. As a Sr. Data Analyst, you will play a critical role in using analytics to inform our business & marketing priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance for future optimizations.

You will work closely with our marketing, product, and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses. This position will be hybrid from our Bengaluru office as part of our expanding site location.

Responsibilities:

- Drive strategic analyses that identify key growth opportunities for EarnIn across Product and Marketing

- Partner with the Product and Marketing teams to design and run experiments

- Upgrade EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED

- Partner with the Machine Learning Engineering team to design and build models that can customize our LCM experience

- Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues

Requirements:

- 4+ years of experience in marketing analytics/product analytics/data science in a B2C role

- Bachelor's degree in a relevant field or equivalent industry experience.

- Strong understanding of various digital marketing channels (Meta, Google, email, push notification, SMS)

- Experience designing, running, and interpreting experiments.

- Expert skillset in SQL and experience with Python or R

- Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.

- Practical knowledge of machine learning techniques

- Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey

- Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations

- Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders

- Experience in Fintech is a bonus.

## Skills

### Required
- SQL
- Python
- R
- Sequential Testing
- Bayesian testing
- CUPED
- Machine learning techniques

### Nice to have
- Fintech

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7958872?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)