{"id":74264,"url":"https://alion.io/job/launchdarkly-data-analyst-revenue-metrics","title":"Data Analyst – Revenue & Metrics (Ireland Based)","company":{"id":7699,"name":"LaunchDarkly","domain":"launchdarkly.com","url":"https://alion.io/company/launchdarkly","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":167000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3160},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Looker","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-04-08T15:04:54Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-22T18:05:55Z","board_verified":true,"closed_at":null,"days_open":197,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":196},"description":"About the Job:\nLaunchDarkly 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.\nYou will partner closely with the Senior Data 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.\nResponsibilities:\nData Modeling & Transformation\nBuild 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.\nMetrics Implementation\nImplement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports.\nAutomation & Pipeline Support\nWork with Data Engineering to automate data pipelines and reduce manual reporting processes.\nDashboarding & Reporting\nDevelop and maintain dashboards that provide consistent and reliable visibility into business performance.\nData Quality & Validation\nValidate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems).\nGlobal Collaboration\nPartner with teams across the US and EMEAto deliver timely and high-quality analytics outputs.\nQualifications:\nTypically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering\n\nStrong SQL skills and experience working with structured and large datasets\n\nExperience with modern data tools (e.g., Snowflake, dbt, Looker or similar)\n\nExperience building and maintaining data models and dashboards\n\nExperience implementing business logic into data transformations\n\nStrong attention to detail and ability to ensure data accuracy\n\nAbility to work with global teams across time zones\n\nClear communication skills\n\nAbout LaunchDarkly:\nModern 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. \nThe LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:\nImproving the velocity and stability of software releases, without the fear of end customer outages\nDelivering targeted experiences by easily personalizing features to customer cohorts\nMaximizing the business impact of every feature through the ability to experiment and optimize\nCoordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types\nImproving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability\nAt 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 . \nDo you need a disability accommodation?\nFill out this accommodations request form and someone from our People Operations team will contact you for assistance. \nYour 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.\nPlease notify us of any fraudulent representation by sending an email to .","description_format":"text","description_chars":4852,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Developer Tools","A/B Testing & Experimentation"],"lifecycle":[{"event":"open","at":"2026-04-08T15:04:54Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.492,"p_room":0.28,"age_days":196,"expected_fill_days":44,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/launchdarkly-data-analyst-revenue-metrics","json_url":"https://alion.io/job/launchdarkly-data-analyst-revenue-metrics.json","meta":{"generated_at":"2026-10-22T19:37:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3012,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7699},"rest":"https://alion.io/mcp/rest/get_company?id=7699"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flaunchdarkly-data-analyst-revenue-metrics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flaunchdarkly-data-analyst-revenue-metrics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flaunchdarkly-data-analyst-revenue-metrics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/launchdarkly-data-analyst-revenue-metrics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flaunchdarkly-data-analyst-revenue-metrics"}]}