{"id":4209864,"url":"https://alion.io/job/lean-layer-revops-analytics-engineer-contract-to-hire","title":"RevOps Analytics Engineer (Contract to Hire)","company":{"id":679664,"name":"Lean Layer","domain":"leanlayer.com","url":"https://alion.io/company/leanlayer","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":{"min":40000,"max":80000,"currency":"USD","period":"year","gross":null,"usd_annual":80000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T19:02:30Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T00:39:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Overview\nLean Layer is the #1 Rated RevOps Agency on G2, and we’re doubling our consulting team over the next year. Our reputation is built on excellent results, which means we need to keep hiring excellent people. We are looking for a RevOps Analytics Engineer with deep Revenue Operations expertise to own and maintain the data infrastructure that powers revenue analytics and reporting across our client environments.\nThis role focuses on data engineering and warehouse management, ensuring reliable pipelines, scalable data models, and high-quality revenue data. The RevOps Analytics Engineer will work closely with RevOps consultants who define CRM and business requirements, and with data analysts who build dashboards and reporting.\nYou may be a fit for the RevOps Analytics Engineer role if you are strong in SQL, data modeling, and warehouse architecture, and can understand the business context of revenue operations in order to build reliable and scalable data systems.\nWhat We’re Looking For\nThe ideal candidate:\nEnjoys building reliable data systems and solving complex data problems\n\nHas strong technical data engineering skills\n\nUnderstands how revenue teams use data for reporting and decision-making\n\nCan translate business context into scalable data models\n\nIs comfortable working across multiple systems and client environments\n\nIs comfortable working directly with clients as needed\n\nThrives in collaborative, fast-paced environments\n\nKey Responsibilities\nData Warehouse Ownership:\nDesign and maintain datasets and table structures\n\nManage warehouse performance, partitioning, clustering, and cost optimization\n\nMaintain access controls and permissions\n\nStructure warehouse schemas to support revenue analytics and reporting\n\nData Pipelines & Integrations:\nBuild and maintain ETL / ELT pipelines from revenue systems into the warehouse\n\nIntegrate data from systems such as HubSpot, Salesforce, marketing and sales analytics platforms, sales engagement platforms, billing systems, and product analytics tools\n\nMonitor pipeline health and resolve failures\n\nManage schema changes from upstream systems\n\nEnsure reliable and timely data synchronization\n\nManage GitHub repositories\n\nData Modeling for Revenue Analytics:\nDesign and maintain analytics-ready data models\n\nBuild models for accounts, contacts, opportunities, and pipeline data\n\nBI & Analytics Support:\nMaintain tables and models used by BI tools such as Looker\n\nOptimize queries and support derived tables used in reporting\n\nEnsure consistent metric definitions across reporting layers\n\nDashboard creation for data validation\n\nData Quality & Reliability:\nImplement data validation and testing\n\nMonitor pipeline health and data freshness\n\nIdentify and resolve data inconsistencies\n\nMaintain documentation for warehouse models and data definitions\n\nRequired Qualifications\n3-5 years of experience in data engineering or analytics engineering\n\nStrong SQL skills\n\nExperience working with data warehouses (BigQuery, Snowflake, Redshift, etc.)\n\nExperience working with Salesforce or HubSpot as a data source\n\nExperience building and maintaining ETL / ELT pipelines\n\nExperience designing analytics-ready data models\n\nFamiliarity with API-based integrations and data syncing\n\nPython for data pipelines or automation\n\nReverse ETL or operational data workflows\n\ndbt or similar transformation tools\n\nLooker or similar BI platforms\n\nExperience with GitHub\n\nPreferred Experience\nExperience working with revenue or business systems and terminology such as:\nMarketing Automation Platforms (MAP) like HubSpot\n\nMarketing analytics platforms\n\nSaaS revenue metrics (ARR, ACV, TCV, MRR, etc.)\n\nSaaS terminology (MQL, SQL, SQO, Deal/Opportunity, Lead/Contact, etc.)\n\nLearn more about what it's like to work at Lean Layerhere.\nFor Brazilian Residents: This role is open to candidates based in Brazil only and is a contract-to-hire opportunity. You’ll start on an hourly contract, with up to 40 hours of work per week. The salary listed reflects the full-time compensation for the role, and we’ll set your hourly rate based on your full-time expectations. If you have any questions about this setup, please don’t hesitate to reach out.","description_format":"text","description_chars":4197,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-11-13T00:39:07Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:1","win:early"],"computed_at":"2026-11-13T02:30:56Z"},"pay":{"stated_usd_annual":80000,"is_top_pay":false},"html_url":"https://alion.io/job/lean-layer-revops-analytics-engineer-contract-to-hire","json_url":"https://alion.io/job/lean-layer-revops-analytics-engineer-contract-to-hire.json","meta":{"generated_at":"2026-11-13T02:30:56Z","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":5344,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":679664},"rest":"https://alion.io/mcp/rest/get_company?id=679664"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flean-layer-revops-analytics-engineer-contract-to-hire"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Flean-layer-revops-analytics-engineer-contract-to-hire"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Flean-layer-revops-analytics-engineer-contract-to-hire"},{"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/lean-layer-revops-analytics-engineer-contract-to-hire\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flean-layer-revops-analytics-engineer-contract-to-hire"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4209864}},{"tool":"search_jobs","arguments":{"company":"leanlayer.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4209864},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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