Analytics Engineer, Finance

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $160k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 9%

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EvenUp

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

EvenUp is a company that specializes in providing AI-driven solutions for personal injury law firms to enhance the efficiency and effectiveness of case handling and settlements. The company's Claims Intelligence Platform™ supports law firms by generating AI demand letters designed to capture every detail and maximize case value. Their suite of products, including MedChrons, Executive Analytics, Case Preparation, Negotiation Preparation, and Settlement Repository, leverages AI and data analytics to streamline legal processes, improve negotiation outcomes, and increase the likelihood of hitting policy limits. EvenUp is SOC2 and HIPAA certified, ensuring high standards of security and privacy for sensitive legal and medical data. The company aims to level the legal playing field by providing personal injury firms with tools that utilize proprietary data and expert insights to navigate complex cases with precision and speed.

📋 Description

• 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, including 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 • Complete the source and PHI inventory, agree the de-identification standard with Legal and Security, and finalize the warehouse architecture and project plan within the first 90 days • Land core finance sources in the warehouse with automated PHI checks passing and deliver a first set of validated finance models within the first 6 months • Transition Finance reporting to the Finance-owned warehouse, reconcile recognized revenue and cash models to the ledger, and enable Finance self-service within the first 12 months

🎯 Requirements

• 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 • 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

🏖️ Benefits

• 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. • Equity

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