Middle to Senior Data Analyst

Flodesk is recognized in the Inc 5000 as one of the world's fastest-growing email marketing companies, built to help entrepreneurs sell online and design emails that people love to get. We're committed to giving small businesses simple and intuitive tools that help them grow, nurture, and monetize their email list. We’re a remote-first company headquartered in San Francisco with a globally distributed team, including in-person hubs in Da Nang (Vietnam), Barcelona (Spain), and Menlo Park (California). Our team reflects the diversity and creativity of the people we serve. Join our mission to level the playing field for small business owners through good design. About The Opportunity The Data Team at Flodesk is part of our Engineering Team, based in our Da Nang office. We serve as the single source of truth for the company, providing data-driven insights that empower teams across Product, Marketing, Finance, and Engineering. As a Data Analyst, you’ll play a crucial role in translating raw data into meaningful insights, optimizing data pipelines, and maintaining a self-service BI ecosystem that enables teams to explore and understand data effectively. What you will do Data modeling and analysis: Own the dbt models and analysis behind Flodesk’s business metrics, taking raw data to tested numbers that every report agrees on. Build automated checks that reconcile data across sources, and trace any gap down to the rows behind it. Most of your work will sit in the finance domain (MRR, retention, LTV/CAC, and revenue and cost reconciliation), so prior knowledge of SaaS metrics and subscription billing models will help. Business partnership: Be the data partner for our business team, mostly the Finance Director and leadership. Turn their questions into well-defined metrics, help settle open definitions (say, how to count a member who converts and cancels in the same month), and build the decisions into the models. AI-first analytics: Do most of your building and analysis through AI agents, and own the result: checking the logic, testing edge cases, and catching what the agent got wrong. You’ll build the dashboards using AI agents and curate the metric definitions and metadata that keep MCP answers accurate. What you need to be successful 2+ years as a data analyst or analytics engineer, working hands-on in SQL against a production data warehouse. Advanced SQL and data modeling. You pick the right grain for each table and get snapshot and point-in-time logic right. Our stack is dbt on Redshift and ClickHouse, so familiarity with dbt and Python will help. A fast learner with an open mind. Prior experience with subscription metrics such as MRR or LTV/CAC is welcome but not required. Experience doing analytics work through AI agents (Claude Code, Cursor, or similar) is highly desirable, and building an analytics MCP server or semantic layer for LLM use even more so. Either way, you have the judgment to check an agent’s output rather than trust it. Rigor and healthy skepticism. When numbers don’t tie, you keep digging until you can explain the gap, and you’re upfront about caveats and definitional choices instead of presenting one tidy number. Clear written and spoken English. You can explain a metric definition to Finance without jargon, and write documentation that people (and ag Why you should choose us Impact & Scale : Your work will directly help thousands of SMBs, and you'll get to work with billion-scale data — a rare opportunity at most startups. Culture : We're a lean, fast-growing team that values Clarity, Craft, Curiosity and Care. Perks: Competitive salary + 13th-month bonus Performance bonuses based on company and individual contributions Stock options for high contributors Personal development allowance up to $1,000/year Comprehensive healthcare coverage (annual health check, vaccines, premium insurance for you and up to 2 family members) Flexible working hours, standard 5-day workweek Modern office with top-notch equipment (MacBook Pro) Opportunities for career growth, including overseas options If you're an innovative, forward-thinking Data Analyst, we'd love to hear from you! Flodesk is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Flodesk is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email people@flodesk.com Notice to California-based Candidates and Vietnam-based Candidates for Employment. This Candidate Privacy Notice is intended to provide information about how Flodesk collects and uses personal information to California consumers and candidates located in Vietnam (Vietnam-based candidates) who apply for employment with Flodesk. If you are employed by Flodesk, refer to the Employee Handbook for additional information. For any questions about this notice, please contact People@flodesk.com. Personal Information Flodesk Collects: Identifiers Including name, address, email, telephone number, social security number, driver license number, passport number, and other personal identifying information. For California-based candidates: Characteristics of protected classifications under California or federal law including demographic information and other personal information obtained during the application process, such as gender, race, national origin. Professional or employment-related information, such as salary/compensation and benefits packages, other relocation or job preferences, prior background, experience, skills, and other information in support of your application, reference information. Any other information you provide as a part of recruitment, job application, or interview process. 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