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Senior Analytics Engineer

January· Product
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Hybrid (New York City)$185k - $221k + equityFull-timePosted 1mo ago

About the role

Senior Analytics Engineer responsible for building and governing January's semantic layer and data contracts, ensuring a trusted data foundation for dashboards, AI interfaces, and self-serve analytics. Partnerships with Data Engineering and cross-team stakeholders to standardize metrics, optimize reporting, and enable AI-driven data products.

Responsibilities

  • Own the gold layer and build January's semantic layer — designing the dbt-driven, Snowflake-native layer that becomes the single source of truth for every tool that answers a data question, from Sigma to a Slack chatbot to future LLM-based interfaces
  • Define and enforce data contracts and standardized metrics — establishing clear ownership boundaries so gold-layer changes are intentional and communicated, and resolving cross-team disagreement about what a metric means
  • Partner on our client reporting revamp — working alongside Data Engineering to clarify metric definitions, define client success criteria, and build the gold-layer models the new reporting experience needs
  • Advocate to expand the data January captures — partnering with Analytics, Borrower Support, and Client Acquisition to close data-capture gaps
  • Own cost management for dbt, Snowflake compute powering the gold layer, and analytics tooling like Sigma
  • Enable trustworthy self-service — building certified, well-documented data products that let analysts, PMs, and ops teams get correct answers without pinging a data scientist
  • Deliver immediate impact through key projects, including semantic layer buildout, metrics standardization, and client reporting revamp

Qualifications

  • 5+ years in analytics engineering, data engineering, or a closely related analytics role
  • Deep expertise with a modern cloud data warehouse (Snowflake preferred)
  • Advanced SQL skills, with a track record of modeling data for both flexibility and trust
  • Experience designing, building, or governing a semantic layer (dbt Semantic Layer, Cube, LookML, or similar)
  • Proven ability to define metrics and data contracts that multiple teams actually adopt
  • A track record of aligning cross-team definitions and driving adoption of self-serve data products
  • Excellent written and verbal communication; ability to document and publish usable data guidance

Skills

Required:SnowflakeSQLdbt / semantic layerMetrics governance
Last updated Oct 22, 2026. Interested? Apply on the company site.

About January

Humanity in consumer finance starts with data.

January helps consumers take control of their debt with flexible payment options, settlements, and easy online account management.

consumer financeAI-enabled solutionsdebt recoverycompliancecredit lifecycle insightsthird party recoveriesconsumer relationships
Company profileWebsite

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