{"id":2494501,"url":"https://alion.io/job/lansweeper-revenue-analytics-engineer","title":"Revenue Analytics Engineer","company":{"id":54409,"name":"Lansweeper","domain":"lansweeper.com","url":"https://alion.io/company/lansweeper","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alicante, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":68000,"max":111000,"currency":"EUR","period":"year","gross":null,"usd_annual":124204},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"ChatGPT","optional":true},{"name":"Copilot","optional":true},{"name":"Cortex","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-06-15T07:34:07Z","employer_posted_date":"2026-06-15","last_verified_at":"2026-10-15T11:22:07Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":121},"description":"Context & Impact\nAs Lansweeper scales its SaaS business across new products and markets, revenue analytics has become a critical function for steering executive and board-level decisions. This role exists to bring structure, trust, and clarity to how Lansweeper measures and understands its revenue.\nYou will be the dedicated Revenue Analytics Engineer within a 10-person Data & Analytics team - the first hire focused entirely on revenue - reporting directly to the Data Platform Manager. Your work will directly shape how C-level leaders and the board understand growth, and how sales and finance teams plan and act.\nIn the near term, your goals are to establish a single source of truth for revenue KPIs, build board-ready reporting, and deliver forecasting models that drive go-to-market decisions.\nChallenge\nThe main challenges you'll face are:\nSpeed vs. complexity: The sales organization moves fast and needs reliable revenue facts quickly - but revenue data is sourced from multiple systems (CRM, billing, ERP) with historic complexity from acquisitions and system migrations, and data quality that varies over time.\n\nKeeping up with a changing business:** As Lansweeper's product and market evolve, sales and marketing allocation must follow. You'll need to continuously adapt revenue models to reflect new business processes and priorities.\n\nBeing the first and only:** You are the sole analytics engineer focused on revenue. You'll need to build foundations from scratch, establish trust in the numbers, and earn your seat at the table with finance and executive stakeholders - all at the same time.\n\nKey Responsibilities\nBuild, maintain, and improve revenue data models** that power executive-level reporting and board-ready metrics across ARR, MRR, churn, expansion, contraction, and renewal cycles\n\nReconcile revenue data across systems of record** - CRM, billing, and ERP - and establish a single, trusted source of truth for financial KPIs\n\nDesign and deliver dashboards and reports** that translate complex revenue data into clear, actionable insights for sales, finance, and leadership\n\nPartner with sales operations and finance** to understand evolving business processes and reflect them accurately in revenue analytics models\n\nDevelop and maintain forecasting models** for key revenue metrics to support go-to-market planning and strategic decision-making\n\nInvestigate and explain trends, anomalies, and shifts** in revenue data, linking them back to underlying sales and finance drivers\n\nProactively improve data quality and integrity** across revenue-related data pipelines to ensure consistent, reliable reporting\n\nKey Requirements\nHard Skills\nFinancial metrics reporting - solid understanding of how revenue, bookings, churn, ARR, MRR, expansion, contraction, and renewal KPIs are defined and measured in a SaaS context\n\nStrong SQL skills - ability to write, optimize, and debug complex queries against large datasets\n\nSystems reconciliation - hands-on experience resolving data mismatches between CRM, billing, and finance systems to produce a reliable single source of truth\n\nData modelling - familiarity with best practices such as dimensional modelling and slowly changing dimensions; experience with Snowflake and dbt is a strong plus\n\nDashboard and reporting delivery- experience building clear, business-facing reports; experience with **Power BI** is a strong plus\n\nSoft Skills\nAnalytical storytelling - you translate data into business narratives that support decisions, not just numbers on a screen\n\nStakeholder collaboration- you work confidently with finance, sales ops, and executive audiences, adapting your communication to each\n\nOwnership mindset - you take initiative, work independently, and drive outcomes without waiting to be directed\n\nAI-Specific Skills\nLansweeper is an AI-native company. In this role, AI fluency is a hard requirement - not a nice-to-have.\nYou are expected to use AI tooling as a standard part of your day-to-day workflow: this includes AI-assisted SQL generation and debugging, using AI to accelerate data modelling and anomaly investigation, and leveraging AI features within your analytics stack (such as Snowflake Cortex or dbt-integrated tooling). You should be comfortable prompting AI tools effectively, evaluating their outputs critically, and integrating AI into repeatable workflows - from data pipeline development to generating draft narrative summaries for executive reporting. General AI fluency across platforms such as ChatGPT or Copilot is expected.\nTeam Info\nYou'll join the Insights & Intelligence team, part of the broader Data & Analytics function at Lansweeper. The team has 10 people and is led by the **Data Platform Manager**, who you will report to directly. You will work closely with sales operations, finance, and data engineers across the organization.\nAs the **only analytics engineer focused on revenue**, you will own this domain end-to-end - a rare opportunity to define how a growing SaaS company understands and steers its revenue.\nThe team is based across Ghent, Belgium and Alicante, Spain, with a hybrid working model at both locations.\nOur Offer\nSalary:\nSee Pay Transparency section below.\nBenefits - Belgium:\nMeal vouchers\n\nEco vouchers\n\nHospitalisation insurance\n\nGroup insurance\n\nCompany car or mobility budget\n\nPhone plan\n\nInternet allowance\n\nBenefits - Spain:\nHealth insurance\n\nMeal allowance\n\nFlexible remuneration plan\n\nWhat else you get:\nA high-impact, high-autonomy role at the intersection of data, finance, and go-to-market strategy\n\nHybrid working from either **Ghent, Belgium or Alicante, Spain** - flexibility built in by design\n\nA pragmatic, collaborative data team that values ownership and real-world impact over process for process's sake\n\nThe opportunity to **build the revenue analytics function from the ground up** in a scaling SaaS company\n\nA front-row seat to C-level and board decision-making, with your work directly influencing strategic direction\n\nAbout Lansweeper\nLansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.\nIn today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.\nWith Lansweeper, organizations can:\nSee - Truly complete visibility across hybrid environments\nKnow- Enriched asset intelligence with lifecycle and risk context\nAct - Automate workflows, coordinate remediation, and enforce policy at scale\nFrom universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.\nOur culture - built on four core values:\nOne Team - United across boundaries\n\nWe Care - Customers and people at the centre\n\nWe Grow - Learning, sharing, improving\n\nWe Deliver - Focusing on what truly matters\n\nPay Transparency\nAt Lansweeper, every role is assigned to a level defined by three things: the expertise it requires, the complexity it involves, and the scope of impact it carries.\nEach level maps to a salary band based on salary benchmarks from the Software/SaaS industry of your country, so your pay reflects what the market pays for comparable roles.\nThe gross salary range for this role is €68000 - 110000€ (Belgium)\nWhere you land within that range depends on the expertise you bring, the complexity you have navigated, the scope of impact you have owned, and your track record of delivering results in comparable roles - the same criteria applied consistently to every candidate.\nWe welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.\nHow AI Is Used During the Hiring Process\nWe use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via \nDiversity Statement\nIt is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.\nLansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.\nReady to join us?\nClick Apply now or share this role with someone in your network.","description_format":"text","description_chars":8688,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Hybrid work"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T04:05:04Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.281,"p_room":0.36,"age_days":121,"expected_fill_days":66,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":124204,"is_top_pay":true},"html_url":"https://alion.io/job/lansweeper-revenue-analytics-engineer","json_url":"https://alion.io/job/lansweeper-revenue-analytics-engineer.json","meta":{"generated_at":"2026-10-15T11:59:36Z","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":18413,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":54409},"rest":"https://alion.io/mcp/rest/get_company?id=54409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flansweeper-revenue-analytics-engineer"},{"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%2Flansweeper-revenue-analytics-engineer"},{"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%2Flansweeper-revenue-analytics-engineer"},{"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/lansweeper-revenue-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flansweeper-revenue-analytics-engineer"}]}