
Empowering financial wellness through earned wage access
Rain is a fintech company based in Oakwood, Los Angeles, CA, that provides employer-sponsored financial wellness solutions. Backed by Clear Haven Capital, Rain has raised $153.6 million in Series A funding to help employees access their earned wages before payday, reducing reliance on high-interest ...
Rain offers a flexible benefits package tailored to individual needs, remote work options, and a hybrid model for Nashville-based team members. Employ...
Rain's culture is centered around alleviating financial stress for employees, promoting financial wellness through innovative solutions. The company v...

Rain • New York, NY
Rain is seeking a Senior Analytics Engineer to consolidate data sources and create reliable datasets that drive company decisions. You'll work with SQL, Python, and data visualization tools like Tableau and Looker. This role requires strong analytical skills and experience in data modeling.
You have 5+ years of experience as an Analytics Engineer or in a similar data-focused role, where you've honed your skills in data modeling and data warehousing. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively, ensuring data integrity and accessibility across the organization. You are proficient in data visualization tools such as Tableau and Looker, enabling you to present complex data insights in a clear and actionable manner. You understand the importance of ETL processes and have experience building and maintaining data pipelines that support business intelligence initiatives. You thrive in collaborative environments, working closely with cross-functional teams to understand their data needs and deliver solutions that empower decision-making. You are detail-oriented and possess strong problem-solving skills, allowing you to tackle data challenges with confidence. You are excited about the opportunity to shape the data landscape of a hypergrowth company and contribute to its mission of creating a borderless financial future.
Experience with cloud data platforms like BigQuery or Snowflake is a plus, as is familiarity with data governance and compliance standards. Knowledge of machine learning concepts can also be beneficial as the company continues to evolve its data capabilities.
As the first dedicated Analytics Engineer at Rain, you will play a pivotal role in transforming how the company utilizes data. You will consolidate fragmented data sources into a cohesive data infrastructure that supports various teams, including Product, Business Development, Customer Success, and Compliance. Your primary responsibility will be to create trusted, reusable datasets that enable these teams to make informed decisions. You will collaborate with stakeholders to understand their data requirements and develop metrics that align with business objectives. You will also be responsible for ensuring data quality and reliability, implementing best practices for data management, and continuously optimizing data processes. As Rain scales, you will have the opportunity to lead initiatives that enhance data accessibility and self-service capabilities for all teams. You will contribute to the company's strategic goals by providing insights that drive growth and operational efficiency. Your work will directly impact the company's ability to deliver innovative payment solutions globally.
At Rain, we believe in fostering a culture of collaboration and innovation. You will have the opportunity to work alongside a talented team of builders and founders who are passionate about shaping the future of finance. We offer competitive compensation and benefits, including health and wellness spending, and the chance to participate in team summits that strengthen relationships and build a common destiny. As a member of our team, you will have the freedom to explore ideas and influence the company's roadmap, making a significant impact in a fast-paced environment. 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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