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Reads like an Analytics Engineer role: dbt models and clean tables.
(On-site) Da Nang, Da Nang, Vietnam
Live, first seen by us 17 days agoListed location: (On-site) Da Nang, Da Nang, VietnamRead the full posting
Build automated checks that reconcile data across sources, and trace any gap down to the rows behind it.
You’ll build the dashboards using AI agents and curate the metric definitions and metadata that keep MCP answers accurate.
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.
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
From the employer’s posting.
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
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Day 17
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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.
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.
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Yes. We’ve followed one other Middle to Senior Data Analyst job there since May 2026. It came down after 4 days.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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
If you're an innovative, forward-thinking Data Analyst, we'd love to hear from you!
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(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
No clear work-authorization passage found. Eligibility is unconfirmed.