Senior Analytics Engineer

About EarnIn

EarnIn is a pioneer in earned wage access, dedicated to building products that provide real-time financial flexibility for individuals living paycheck to paycheck. Our community members can access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13 million times and has facilitated access to over $15 billion in earnings. We are supported by an experienced leadership team and world-class funding partners, including A16Z, Matrix Partners, DST, and Ribbit Capital. We are growing rapidly and seeking to add world-class talent to shape our future.

Responsibilities

• Streamline data flows from source and produce high-quality data and pipelines.
• Develop and maintain data pipelines, ETL processes, and data integration workflows using SQL, Python, or other scripting languages.
• Work with data infrastructure to triage infra issues and drive to resolution, acting as a key liaison between data infrastructure and end customers.
• Design, build, and optimize data architecture and models to support business reporting and analytics needs.
• 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, and dashboards to support financial needs.
• Build and deliver high-quality visualization and reporting solutions for Finance business needs.
• Design and create customized reports for new financial reconciliation 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 teams to understand data needs and deliver high-quality data products.
• Gain familiarity with the finance domain at EarnIn and identify opportunities for process automation.
• Take ownership of debt facility analytics and other core finance areas.
• Build data functional expertise and own data quality for allocated areas.
• Create quality controls on data feeds to ensure high-quality data for end products.
• Design, build, and launch new data extraction, transformation, and loading processes in production.
• Implement data governance practices, including data security, privacy, and compliance measures.
• Conduct deep analysis to uncover opportunities and present recommendations to shape business strategy and operations.
• Create project documentation for requirements, design, processing methodologies, and planned changes.
• Provide analytical support for financial needs such as annual audits, new product revenue reporting, and external lender inquiries.
• Act as a data and functional expert at EarnIn.
• Stay up-to-date with industry trends and emerging technologies in business intelligence and data analytics.
• Identify and recommend BI and data tools for increased productivity and scalability.

Requirements

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