Analytics Engineer, Finance — United States

23dH7D is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. 23dH7D is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at ••••••••

As an Analytics Engineer on the Finance Team you will build and maintain data models, transformation pipelines, and reporting which will be leveraged by the Finance team. You will have ownership around the accuracy and consistency of data and dictionaries for reporting and analytics within the Finance domain.

What You'll Do

• Enable the Finance team by providing documented, auditable, trusted tables that analysts and AI-assisted workflows can use without engineering support

• Design and build the Finance warehouse on Google Cloud (BigQuery), including environments, access controls, cost management, and documentation

• Own PHI identification and removal by inventorying source columns, classifying them, and building the scrubbing layer (e.g., field-level removal, tokenization, and free-text redaction)

• Define data specifications and partner cross-functionally with Analytics to ingest and incorporate necessary data feeds

• Define and operate controls in partnership with Legal and Security to set the de-identification standard and automate checks for PHI leakage

• Build finance data models in dbt, including recognized revenue, billings, cash collections, CARR bridge, and credit consumption

• Reconcile and validate warehouse outputs against Salesforce, Stripe, and the general ledger

• Transition existing finance workstreams and models from shared warehouse datasets to the new Finance-owned environment

What We Look For

• 5+ years of data engineering, including at least one data warehouse built from scratch, ideally in finance at a pre-IPO company

• Experience supporting finance, accounting, or revenue operations teams

• Strong SQL, hands-on data modeling, and dbt experience, with familiarity with medallion architecture

• Hands-on experience with BigQuery or comparable cloud data warehouse, including IAM, security controls, and policy tags

• Experience de-identifying or restricting access to sensitive data (PHI, PII, financial data) and working knowledge of HIPAA de-identification methods

• Experience building tested, documented dbt models that enable analyst self-sufficiency

• Comfort partnering with Legal, Security, and Finance stakeholders to explain technical tradeoffs

• Ability to work independently with no existing playbook; innate curiosity and root-cause analysis skills

• Proficiency with software engineering best practices, including Git version control

NICE TO HAVE

• Agentic coding tools (e.g., Claude Code, Cursor, Codex) are part of your regular workflow, and you verify and take ownership of AI-generated output

• Experience building, shipping, evaluating, and monitoring LLM or agent systems in production

• Google Cloud Sensitive Data Protection (DLP) or similar redaction tooling

• Familiarity with Salesforce data models, Stripe billing data, or an ERP such as NetSuite

• Experience with Metabase or similar BI tools

• Python experience

• Background in legal tech, healthcare, or another regulated industry

SUCCESS METRICS

• First 90 days: Complete the source and PHI inventory, agree the de-identification standard with Legal and Security, and finalize the warehouse architecture and project plan

• First 6 months: Core finance sources landing in the warehouse with automated PHI checks passing, and a first set of validated finance model

• First 12 months: Finance reporting runs from the Finance-owned warehouse, recognized revenue and cash models reconcile to the ledger, and the Finance team queries the data without engineering support

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

• Choice of medical, dental, and vision insurance plans for you and your family.

• Additional insurance coverage options for life, accident, or critical illness.

• Flexible paid time off, sick leave, short-term and long-term disability.

• 10 US observed holidays, and Canadian statutory holidays by province.

• A home office stipend.

• 401(k) for US-based employees and RRSP for Canada-based employees.

• Paid parental leave.

• A local in-person meet-up program.

• Hubs in San Francisco and Toronto.

(Please note the above benefits & perks are for full-time employees)

Notice to Candidates:

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

Please note that 23dH7D may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.

23dH7D is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Compensation Range: $160K - $180K