Job Application for Analytics Engineer at EarnIn

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About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

ABOUT EARNIN

ABOUT THE ROLE

This is a high-impact role with a lot of excitement. You will work across the team, help drive data-driven decisions, establish new business metrics, and own the automated reporting systems. You will develop solutions to complex business problems characterized by imperfect data. You will gather, transform, and present data to enable data-driven decision-making. You will help scale the analytics we are offering to both internal and external stakeholders. This position will be ideally based in our Bengaluru office and is expected to be hybrid/in-person a few days a week. EarnIn provides excellent benefits for our employees including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

Streamline data flows from source and produce high-quality data and pipelines (15%)

Develop and maintain data pipelines, ETL processes, and data integration workflows to ensure efficient and accurate data acquisition from various internal & external sources using SQL, Python, or other scripting languages
Work with data infrastructure to triage infra issues and drive to resolution and serve as the key point to bridge between data infrastructure and end customers
Design, build, and optimize data architecture & models to support business reporting and analytics needs. Understand evolving business requirements to optimize/update data pipelines in SQL
Monitor and optimize the performance of data systems, troubleshoot issues, and propose solutions for data-related problems

Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our financial needs (45%)

Build and deliver high-quality visualization and reporting solutions to support Finance business needs
Design and create customized reports for all new financial reconciliation needs catering to their specific needs
Automate reporting for Finance using Python, Periscope, Tableau, Amplitude, and other EarnIn in-house business intelligence tools and platforms

Interface with Finance, Engineering, and Analytics to understand data needs and deliver high-quality data products (30%)

Get familiar with the finance domain at EarnIn and identify opportunities for process automation
Take ownership of debt facility analytics and other core finance areas as needed
Build data functional expertise and own data quality for allocated areas of ownership.
Create quality controls on a data feed to ensure high-quality data is delivered for the end product
Design, build, and launch new data extraction, transformation, and loading processes in production as and when required
Implement data governance practices, including data security, privacy, and compliance measures
Deep analysis to uncover areas of opportunity and present recommendations that will help shape the strategy and operations of business stakeholders
Create project-related documentation for requirements, design, processing methodologies, and changes planned and other relevant areas
Provide analytical support for financial needs such as annual audits, new product revenue reporting, and external lender inquiries.

Be a data and functional expert at EarnIn (10%)

Stay up to date with industry trends and emerging technologies in the field of business intelligence and data analytics.
Be a data SME related to the finance domain
Identify and recommend BI and data tools that can be used within the company for increased productivity and scalability

WHAT WE'RE LOOKING FOR

Bachelor/ Master degree in Engineering / Analytics related fields
2+ years of relevant work experience in Analytics, Business Intelligence, Data Science etc
2+ years experience in custom ETL design, implementation, and maintenance.
2+ years experience with schema design and dimensional data modeling.
2+ years experience in writing complex SQL queries and Python
2+ years experience working with Snowflake / Databricks or similar distributed computing systems
2+ experience with business intelligence tools such as Tableau, Power BI, or QlikView.
2+ years of working with relational databases (Redshift, PostgreSQL) and big data structures
1+ Experience with any cloud platform (Ex: AWS) and big data technology (Ex: Spark)
2+ years of experience in collaborating with cross-functional teams
Experiences working with the finance team is preferred and not required
Tier 1 Engineering Institute preferred
Ability to analyze data to identify deliverables, gaps, and inconsistencies. Excellent problem-solving and analytical skills

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

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Analytics Engineer

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