Senior Analytics Engineer

January • New York, NY

10d • Onsite

About The Position

As January's Senior Analytics Engineer, you'll own the layer that makes our data trustworthy — for the people who use it today, and for the AI agents that will increasingly use it tomorrow. Data Engineering gets raw data reliably into Snowflake; you take it from there. You'll build and govern our semantic layer, standardize how teams across January define and measure success, and make sure that a metric means the same thing whether it's surfaced on a dashboard, in a Slack chatbot, or by an LLM answering a question on someone's behalf. You'll partner with Data Engineering to deliver impactful client reports, and you'll advocate for the data January needs to capture, but doesn't yet. This is a foundational hire for a company betting that the future of analytics is fewer people writing one-off queries and more trust built into the data itself.

Requirements

• 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 walking into a room where teams disagree about what a metric means and leaving with one answer everyone uses
• Experience partnering with data engineering or infrastructure teams on shared problems (like client reporting) without owning the whole stack yourself
• History of building trust and adoption for self-serve data products, not just building them
• Systems thinker who sees how a modeling decision ripples through dashboards, reports, and (increasingly) AI agents
• Ownership mentality — comfortable with January's decentralized operating model, and willing to show ownership behavior beyond your formal remit when it serves the broader goal
• Client-oriented — genuinely curious about what clients need from their data, not just what they ask for
• Clear communicator who can write documentation people actually read and adopt

Nice To Haves

• Experience building data products or context layers that also serve LLM-based or agentic consumers
• Experience with a BI/self-serve tool such as Sigma or Looker
• Background blending analytics engineering with client-facing or consulting work
• Previous startup or high-growth company experience

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 (who own the underlying pipeline architecture) to clarify metric definitions, define client success criteria, and build the gold-layer models the new reporting experience needs — including data products clients don't know to ask for yet
• Advocate to expand the data January captures — partnering with Analytics, Borrower Support, and Client Acquisition to close data-capture gaps (event granularity, structured conversational data, richer client attributes) that limit what your models can do
• 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 (and eventually agents) get correct answers without pinging a data scientist
• Deliver immediate impact through key projects, including: Semantic Layer Buildout, Metrics Standardization, Client Reporting Revamp

Benefits

• transparent, fair, and equitable compensation practices
• fostering an environment where all team members are valued and supported
• equal opportunity employer committed to diversity and inclusion in the workplace

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed