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Financial Analyst – Revenue & Metrics (Ireland Based)

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain scalable data models using tools like Snowflake and dbt

  • Work with Data Engineering to automate pipelines and reduce manual reporting

  • Develop and maintain dashboards for consistent business performance visibility

  • Validate data and reconcile figures across Salesforce and billing systems

From the employer’s posting
Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt)
Work with Data Engineering to automate data pipelines and reduce manual reporting processes
Develop and maintain dashboards that provide consistent and reliable visibility into business performance
Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems)

What you’ll bring

All qualifications

Core experience

  • Strong SQL skills and experience working with structured and large datasets
  • Ability to work with global teams across time zones
  • Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)
  • Experience building and maintaining data models and dashboards
  • Experience implementing business logic into data transformations
Qualification wording
Strong SQL skills and experience working with structured and large datasets
Ability to work with global teams across time zones
Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)
Experience building and maintaining data models and dashboards
Experience implementing business logic into data transformations

About LaunchDarkly

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise.

In the employer’s words · Read in context

Apply at LaunchDarkly

Posting record

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Open 7 monthsWe first saw this posting 213 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026213 days ago
Recorded sightings
203
Last seen by us
Nov 13, 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

Time since we first saw it

Day 213

Up longer than most. Similar jobs usually come down between day 7 and day 51.

From 1,662 similar postings that came down. Coming down is not always a hire.

LaunchDarkly is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See 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.

  • SQL
  • dbt
  • Looker
  • Snowflake
Where the posting names them
- Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering - Strong SQL skills and experience working with structured and large datasets - Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)
Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.
- Strong SQL skills and experience working with structured and large datasets - Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) - Experience building and maintaining data models and dashboards

Your next step

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Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 83, the most 171, and the latest week had 95.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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

View original posting ↗

About the Job:

LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery.

You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization.

Responsibilities:

Data Modeling & Transformation
Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets.

Metrics Implementation
Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.

Automation & Pipeline Support
Work with Data Engineering to automate data pipelines and reduce manual reporting processes.

Dashboarding & Reporting
Develop and maintain dashboards that provide consistent and reliable visibility into business performance.

Data Quality & Validation
Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).

Global Collaboration
Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs.

Qualifications:

  • Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering

  • Strong SQL skills and experience working with structured and large datasets

  • Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar)

  • Experience building and maintaining data models and dashboards

  • Experience implementing business logic into data transformations

  • Strong attention to detail and ability to ensure data accuracy

  • Ability to work with global teams across time zones

  • Clear communication skills

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. 

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

  • Improving the velocity and stability of software releases, without the fear of end customer outages
  • Delivering targeted experiences by easily personalizing features to customer cohorts
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
  • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. 

Do you need a disability accommodation?

Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. 

Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

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Ireland

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