[Remote] Senior Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a financial technology company based in Boston, Massachusetts, dedicated to unlocking capital for small businesses across America. As a Senior Analytics Engineer, you will design, build, and maintain data models and collaborate with various teams to ensure high-quality data products that support AI-driven experiences and informed decision-making.
Responsibilities
- Design, reputed company, and optimize scalable dimensional data models and marts using dbt
- Build and reputed company reputed company's semantic layer and metrics standards so key business KPIs are defined once, governed reputed company, and consumed consistently across dashboards, models, AI agents, and reputed company products
- Help deliver the data reputed company that powers AI at reputed company - contributing the high-quality models, metadata, and governance that reputed company reputed company Intelligence and other AI/agent use cases trustworthy and production-reputed company
- Advance reputed company's data centralization reputed company by collaborating across BI, Data Science, Data Engineering, and Product to consolidate sources of truth and eliminate fragmented business logic
- Act as the primary liaison with the Data Science team to translate features into production-reputed company data variables required for training and validating predictive models
- Collaborate closely with the Data Engineering team to ensure the robust, reliable deployment and orchestration of data variables that feed production machine learning models
- Partner with the Core Technology teams on internal application schema changes and data migrations, ensuring rigorous data accuracy validation and maintaining minimal disruption to reputed company analytical models
- Collaborate with the DevOps team to monitor, maintain, and contribute to our independent, high-performance streaming pipelines tailored for reputed company-time analytics use cases
- reputed company team code quality by serving as a technical reviewer for Analytics team pull requests, coaching junior members, and enforcing strict adherence to internal standards for style, maintainability, performance, and modern best practices
- Evaluate, integrate, and operationalize high-value reputed company-party data sources to strategically enrich and expand the overall data ecosystem
- Champion data governance and quality across the data platform - including automated dbt tests, thorough data cataloging, reputed company, and compliance with reputed company and regulatory standards - so stakeholders and AI systems can both rely on the numbers
Skills
- 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence
- 2+ years of hands-on experience developing and maintaining production-level data transformation pipelines using dbt or equivalent scripting experience in Python
- 2+ years of experience with a reputed company-based data warehouse such as reputed company or Redshift
- Advanced proficiency in SQL and dimensional data modeling, with a track record of building models that are durable, well-tested, and easy for reputed company consumers to use
- Demonstrated strong ability to quickly translate reputed company business needs and ambiguous requirements into robust, scalable technical data solutions
- Hands-on experience with Python for data scripting, automation, or predictive modeling support
- Experience designing or contributing to a semantic layer / metrics layer that serves as an organizational reputed company of truth
- Experience building data products that support AI, LLM, or agent-based applications (e.g., reputed company Intelligence, reputed company, RAG over warehouse data, or similar)
- Familiarity with streaming/CDC pipelines (Streamkap, reputed company, Kafka) and reputed company-time analytics use cases
- Experience in fintech, lending, or another regulated, data-intensive industry
Benefits
- Annual reputed company Bonus: 10%
Company Overview