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Home›Jobs›Earnin›Sr. Data Analyst
Earnin

About Earnin

Access your paycheck as you earn it

🏢 Tech👥 201-500 employees📅 Founded 2012📍 Evergreen Park, Palo Alto, CA💰 $190.1m⭐ 4.2
FintechB2CB2BPersonal financePaymentsFinancial Services

Key Highlights

  • Over 300,000 business customers using Earnin as an employee benefit
  • Facilitated 70 million paycheck advances totaling $5 billion in 2022
  • $190.1 million raised in Series B funding
  • No mandatory fees; revenue generated through voluntary tipping

Earnin is a fintech company headquartered in Palo Alto, CA, dedicated to transforming the financial landscape for workers by providing paycheck advances as they earn. With over 300,000 business customers, Earnin facilitated around 70 million paycheck advances in 2022, amounting to $5 billion. The co...

🎁 Benefits

Earnin offers a comprehensive benefits package including health insurance, a 401k plan, flexible work-from-home opportunities, and mental health resou...

🌟 Culture

Earnin's culture is centered around financial empowerment, allowing employees to access earned wages without mandatory fees or credit checks. The comp...

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Earnin

Sr. Data Analyst

Earnin • Bengaluru, India

Posted 2w agoSeniorData analyst📍 Bengaluru
Apply Now →

Skills & Technologies

SQL

Overview

Earnin is seeking a Senior Data Analyst to drive strategic analyses and improve the core product experience. You'll collaborate with Product and Engineering teams and utilize your expertise in SQL. This role requires 4+ years of experience in product analytics or data science.

Job Description

Who you are

You have over 4 years of experience in product analytics or data science, particularly in a B2C environment. Your strong product sense and intuition allow you to drive impactful changes in business and customer experience. You are skilled in designing, running, and interpreting experiments, ensuring that your analyses lead to actionable insights. Your expertise in SQL is complemented by your ability to work collaboratively with cross-functional teams, including Product and Engineering.

You thrive in environments where you can monitor and proactively troubleshoot key business metrics. Your analytical mindset enables you to surface issues and drive resolutions effectively. You are comfortable working with experimentation tools and methodologies, such as Sequential Testing and Bayesian testing, and you are eager to upgrade Earnin's experimentation stack.

Desirable

Experience partnering with Machine Learning Engineering teams to design and build models is a plus. Familiarity with advanced statistical methods and tools will enhance your contributions to the team. You are a proactive communicator, able to convey complex data insights to stakeholders in a clear and concise manner.

What you'll do

In this role, you will drive strategic analyses that identify key opportunities to enhance the core product experience for Earnin’s customers. You will partner closely with the Product and Engineering teams to design and run experiments that inform product decisions. Your role will involve upgrading Earnin’s experimentation stack by implementing advanced tools and methodologies. You will also collaborate with the Machine Learning Engineering team to design and build models that are integral to EarnIn’s core product.

Monitoring key business metrics will be a crucial part of your responsibilities. You will proactively surface and troubleshoot any issues that arise, ensuring that the product remains aligned with customer needs and business goals. Your insights will directly influence product development and customer engagement strategies.

What we offer

At Earnin, you will be part of a pioneering team that is reshaping financial flexibility for individuals living paycheck to paycheck. We offer a collaborative work environment where your contributions will have a meaningful impact on our community members. You will have the opportunity to work with a talented leadership team and world-class funding partners, driving innovation in the financial technology space. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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