Financial Analyst - Revenue & Metrics (Ireland Based)

Mixpeek; Ireland; On-site; EUR 75,000 - 110,000; Full time

Job summary

LaunchDarkly is seeking a Data Analyst to join the Data & Analytics team in Ireland. You will focus on building scalable data models, automating reporting, and supporting global analytics delivery.

You will partner with the Senior Financial Analyst, Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets and ensure metrics like ARR and NRR are implemented and delivered automatically across the organization.

Qualifications

• Minimum 5 years of experience in financial data analytics, BI, or analytics engineering.
• Strong SQL skills and experience with large structured datasets.
• Experience with Snowflake, dbt, Looker or similar tools.
• Experience building and maintaining data models and dashboards.
• Ability to translate business logic into data transformations and ensure data accuracy.

Responsibilities

• Build and maintain scalable data models using Snowflake and dbt.
• Implement and maintain standardized metrics (ARR, NRR, churn) in the data layer.
• Automate data pipelines and support reporting processes with Data Engineering.
• Develop and maintain dashboards that provide visibility into business performance.
• Validate data outputs and support reconciliation across systems (e.g., Salesforce, billing).
• Collaborate with global teams across the US and EMEA to deliver analytics outputs.

Skills

Strong SQL

Data modeling

Data transformations

Dashboarding

Global collaboration

Tools

Snowflake

dbt

Looker

Job description

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 Affir. To do so, contact People Ops at [e-mail].