Middle to Senior Data Analyst

Posted 19 Days Ago
Be an Early Applicant
Đà Nẵng, VNM
In-Office
Senior level
Software
The Role
Own financial metrics and dbt models, reconcile revenue and costs, partner with Finance and Marketing on analysis, and support product and growth analytics. Build AI-assisted dashboards and self-service analytics infrastructure while validating model logic, edge cases, metric definitions, and data quality. Translate complex findings into clear documentation and trusted insights.
Summary Generated by Built In

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

  • Financial metrics and modeling: Own the dbt models behind Flodesk’s financial metrics, from MRR and its movements to billings, collected payments, retention, LTV, and CAC. Build them from Recurly billing data so they hold up through real-world cases like plan changes, failed payments, and refunds, and so the same month shows the same number in every report.
  • Revenue and cost reconciliation: Reconcile billings, collected payments, and MRR against the billing system, payment processors, and accounting records, and explain any gap in terms Finance can act on. Do the same for costs, so unit economics like affiliate commissions rest on numbers everyone trusts.
  • Finance partnership: Work directly with our Finance Director and leadership on metric definitions, cohort and pricing analysis, and recurring reporting. When a definition is genuinely open (say, how to count a member who converts and cancels in the same month), lay out the options and trade-offs, help Finance decide, and document the decision so it sticks. Partner with Marketing on acquisition spend and attribution for CAC.
  • Beyond finance: Support other domains when needs arise, such as product and growth analytics, bringing the same rigor to questions about feature adoption, funnels, and retention.
  • AI-first analytics: Do most of your building and analysis through AI agents rather than by hand. You’ll direct agents to write and review dbt models, run investigations, and build dashboards, and you’ll own the result: checking the logic, testing edge cases, and catching what the agent got wrong.
  • Self-serve analytics, rebuilt: We’re replacing traditional BI with a self-hosted portal of Claude-built dashboards, plus an analytics MCP that answers ad hoc questions in plain language. You’ll build and maintain the finance dashboards, and curate the metric definitions, model metadata, and guardrails that keep MCP answers accurate.
What you need to be successful
  • Analytics experience, ideally in subscription or SaaS finance.
  • A fast learner with an open mind. Prior experience with subscription metrics such as MRR, LTV/CAC, or billing reconciliation is welcome but not required.
  • Advanced SQL and data modeling. You pick the right grain for each table and get snapshot and point-in-time logic right. dbt experience is a strong plus (our stack is dbt on Redshift and ClickHouse), and Python is a plus.
  • 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 agents) can rely on.
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 [email protected]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 [email protected].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. 
Purposes for Collecting Personal Information:
To consider qualifications, skills, and interest for employment. To communicate with you during the recruitment and interview process. To provide compensation, including payroll, and  administer stock options and benefits, including medical, dental, vision, commuter, and retirement benefits. To provide human resources services and conduct performance evaluations. To monitor work eligibility including work-related licenses, credentials, training, and eligibility to work in the United States or in Vietnam. To improve recruitment and interview processes and  ensure a safe and efficient working environment. To comply with applicable legal or regulatory requirements as Flodesk may transfer or store internationally your information, including to or in the United States, European Union and Vietnam and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
For Vietnam-based candidates:
By clicking "Submit Application", You confirm that you have read the Privacy Notice and agree to allow Flodesk to process your personal data for this application, including cross-border transfer. You have the right to withdraw your consent or request data deletion at any time by contacting [email protected]

Skills Required

  • Professional analytics experience
  • Advanced SQL skills and data modeling experience, including selecting appropriate table grain and implementing snapshot and point-in-time logic
  • Ability to analyze and reconcile subscription or SaaS financial metrics such as MRR, LTV/CAC, billings, payments, retention, and costs
  • Clear written and spoken English
  • dbt experience
  • Python experience
  • Experience using AI agents such as Claude Code or Cursor for analytics work
  • Experience building an analytics MCP server or semantic layer for LLM use
  • Strong rigor, skepticism, and ability to validate AI-generated analysis and explain data discrepancies
  • Experience with subscription or SaaS finance analytics
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The Company
HQ: San Francisco, CA
66 Employees
Year Founded: 2018

What We Do

Flodesk makes simple, intuitive software tools to help entrepreneurs grow their businesses. You can use it to design and send on-brand marketing emails; sell online with beautiful sales pages, online payments, and instant product delivery—all in one place; publish opt-in forms to grow your list, and build powerful email automations

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