Time since we first saw it
Day 17
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Middle to Senior Data Analyst
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 ago- 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 postingBuild 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.
From the employer’s posting
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
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 error- Status in our records
- Live
- First seen by us
- Oct 18, 202617 days ago
- Recorded sightings
- 21
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Flodesk is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add 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.
- Python
- SQL
- ClickHouse
- dbt
- Redshift
Where the posting names them
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Flodesk posted this job before?
Yes. We’ve followed one other Middle to Senior Data Analyst job there since May 2026. It came down after 4 days.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
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
- 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. 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 people@flodesk.com
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 people@flodesk.com
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.