We're building a new healthcare clearinghouseIn the healthcare sector, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) requires that all insurance payers exchange transactions such as claims, eligibility checks, prior authorizations, and remittances using a standardized EDI format called X12 HIPAA. A small group of legacy clearinghouses process the majority of these transactions, offering consolidated connectivity to carriers and providers.Stedi is the world's only programmable healthcare clearinghouse. By offering modern API interfaces alongside traditional real-time and batch EDI processes, we enable both healthcare technology businesses and established players to exchange mission-critical transactions. Our clearinghouse product and customer-first approach have set us apart. Stedi was ranked as Rampâs #3 fastest-growing SaaS vendor.Stedi has lightning in a bottle: engineers and designers shipping products week in and week out; a lean business team supporting the companyâs infrastructure; passion for automation and eliminating toil; $92 million in funding from top investors like Stripe, Addition, USV, Bloomberg Beta, First Round Capital, and more. To learn more about how we work, watch our founder Zackâs interview with First Round Capital.What weâre looking forWeâre hiring a full-stack data and analytics engineer to build and own the data foundation that will power our daily GTM operations: revenue analytics, product usage telemetry, CRM data quality, attribution, funnel performance, and forecasting.This is not a typical business analyst position. You will architect the pipelines, models, and automations that ensure our GTM teams have reliable, real-time insights into how customers discover, adopt, and expand with Stedi and our products. You will work closely with Sales, GTM Ops, Product, and Finance, executing data and analytics engineering workstreams, and conducting hands-on analysis to build the source-of-truth data for our GTM operations.What you'll doBuild and maintain GTM data pipelines: Own ingestion, transformation, and syncing of CRM data (HubSpot), product-usage telemetry, billing data, and third-party enrichment data in Redshift to support GTM analytics workstreams.Develop core GTM & revenue data models: Improve operational efficiency through standardization of datasets for Sales, GTM Ops, Finance, and the executive team, while establishing common metric definitions across revenue, customer segments, and more.Ship dashboards, alerts, and decision-making tools: Improve telemetry into business performance by building dashboards to track things like sales funnel performance and pipeline quality. Better inform GTM leadership through automation of weekly/monthly reporting and establishing a revenue forecast.Investigate trends and build models to support sales. Accelerate sales effectiveness through implementation of alerting for critical events (e.g. pipeline drops, usage contractions, stuck deals, missed lifecycle transitions), conducting key analyses (e.g. pipeline velocity, win rates, segmentation performance), and development of GTM models (e.g. ICP scoring, account prioritization, churn risk).Own the GTM analytics roadmap: Work with GTM leadership to maintain a backlog of GTM analytics engineering work. Proactively identify the next set of capabilities the GTM org needs (forecasting, routing logic, new usage signals, etc).Who you areYou have exceptional analytical skills: Youâve made a career in working with data to improve products and overall business operations. You know the tools, best practices, and playbooks necessary to stand up a high-performing and organized analytics function at the company.You know the tech stack: You write efficient SQL queries to analyze large datasets and can work with complex schemas. You're an expert with data visualization tools like Tableau, QuickSight, or Power BI. Familiarity with cloud environments (AWS, Azure, GCP).You create and execute your own work: You notice patterns others miss and dig deep to understand root causes. You've identified data issues or operational inefficiencies that led to meaningful improvements.You do what it takes to get the job done: You are resourceful, self-motivating, self-disciplined, and donât wait to be told what to do. You put in the hours.You move quickly: We move quickly as an organization. This requires an ability to match our pace and not get lost by responding with urgency (both externally to payers and internally to stakeholders), communicating what you are working on, and proactively asking for help or feedback when you need it.You are a âbottom feederâ: You thrive on the details. No task is too small in order to find success, generate revenue, and improve our costs.The annual compensation range for this role is $180,000-$230,000. For roles with a variable component, the range provided is the roleâs On Target Earnings ("OTE") range, which means that the range is inclusive of the sales commissions or bonus target and annual base salary. This range may be inclusive of multiple experience levels at Stedi and will be narrowed during the interview process based on a number of factors, including the candidateâs experience, location, and qualifications. Please reach out to your recruiter with any questions.Weâve been made aware of individuals impersonating the Stedi recruiting team. Please note:All official communication about roles at Stedi will only come from an @stedi.com email address.If youâre unsure whether a message is legitimate or have any concerns, feel free to contact us directly at careers@stedi.com.We appreciate your attention to this and your interest in joining Stedi.At Stedi, we're looking for people who are deeply curious and aligned to our ways of working. You're encouraged to apply even if your experience doesn't perfectly match the job description. Please mention the word **LOGICAL** and tag RMjQwNToyMDE6ODAyZDo3ODY5OmE4NjE6N2ExOTo0YWNhOjNkOTE= when applying to show you read the job post completely (#RMjQwNToyMDE6ODAyZDo3ODY5OmE4NjE6N2ExOTo0YWNhOjNkOTE=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.