Middle to Senior Data Analyst
Reads like an Analytics Engineer role: dbt models and clean tables.
(On-site) Da Nang, Da Nang, Vietnam
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Listed location: (On-site) Da Nang, Da Nang, Vietnam
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOwn dbt models for MRR, billings, retention, LTV and CAC from Recurly data
Reconcile billings, payments and MRR against billing, processor and accounting records
Define finance metrics with the Finance Director and document decisions
Build and maintain finance dashboards and the metric guardrails for the analytics MCP
Run analysis through AI agents and check their output for errors
From the employer’s posting
Own the dbt models behind Flodesk’s financial metrics, from MRR and its movements to billings, collected payments, retention, LTV, and CAC.
Reconcile billings, collected payments, and MRR against the billing system, payment processors, and accounting records
Work directly with our Finance Director and leadership on metric definitions, cohort and pricing analysis, and recurring reporting.
You’ll build and maintain the finance dashboards, and curate the metric definitions, model metadata, and guardrails that keep MCP answers accurate.
Do most of your building and analysis through AI agents rather than by hand.
Tools in this posting
- Python
- SQL
- ClickHouse
- dbt
- Redshift
Source — Tool mentions in context
- 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.
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.
- 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.
Benefits in the posting
Full benefits wording- 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)
From the employer’s posting.
About Flodesk
We serve as the single source of truth for the company, providing data-driven insights that empower teams across Product, Marketing, Finance, and Engineering.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · 12 days ago
- Recorded sightings
- 15
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Oct 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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!
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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 people@flodesk.com
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
(On-site) Da Nang, Da Nang, Vietnam
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
- Work authorization
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