Senior Data Analyst, Strategic Operations

What you'll do

• Architect the Operations Intelligence Warehouse: Lead the audit, cleanup, and architecture of the Operations data subset within our shared BigQuery warehouse including source-of-truth definitions, schema and dataset design, naming conventions, documentation, and query cost management.
• Set the data modeling standard: Build and maintain dimensional models in dbt with testing, lineage, and version control, so every operational metric traces to a governed, documented source.
• Instrument the operation: Design and maintain the dashboards and metrics that give leadership real-time visibility into operational health: throughput per workflow, cycle time, first-pass yield, exception rates, and capacity versus demand.
• Connect operations to revenue: Join operational data to GTM and financial data to answer the questions that matter: how service quality drives retention and NRR, what each workflow costs to run, and where margin is made or lost in the member delivery pipeline.
• Power statistical rigor: Partner with the team on statistical process control, variance analysis, and root cause analytics, replacing anecdote with evidence in daily operating decisions.
• Raise the data practice: Partner with our Data Engineering team, who own the company-wide warehouse and pipelines, to establish the SQL, modeling, and analytics engineering standards Strategic Operations scales on.

What you'll bring

Experience

• 5+ years in data analysis or analytics engineering at a B2B SaaS or fintech company, ideally one with a human-in-the-loop service delivery operation.

Analytical Powerhouse

• Expert-level SQL and hands-on experience with dbt (data build tool), or equivalent, in a modern warehouse. BigQuery and Metabase strongly preferred.

Warehouse Wrangler

• A track record of leading a data cleanup or warehouse re-architecture: you have untangled inconsistent schemas, established sources of truth, and made a messy warehouse trustworthy.

Quality-First

• Strong data quality instincts: testing frameworks, lineage, documentation, and git-based workflows are how you work, not an afterthought.

Signal from Ambiguity

• Proven ability to take ambiguous operational questions and turn them into structured, measurable analyses that change decisions.

Cross-Functional Influence

• Exceptional communication and stakeholder management skills, with a track record of effectively collaborating between highly technical teams (Product/Eng) and specialized subject matter experts (Tax/Accounting).

Startup Agility

• A self-starter mindset with the ability to thrive in a fast-paced environment, pivot when necessary, and comfortably navigate a high-growth startup ecosystem.

Nice to have

• Python for analysis and pipeline work.
• Exposure to statistical process control, six sigma, or industrial engineering methods.
• Experience instrumenting AI agent or workflow telemetry, or supporting LLM eval programs.
• AI-assisted, low-code development experience (Claude Code, AppSheet, or similar).