{"id":3280320,"url":"https://alion.io/job/data-rails-data-analytics-engineer-maternity-cover","title":"Data Analytics Engineer (Maternity Cover)","company":{"id":673605,"name":"Data Rails","domain":"datarails.com","url":"https://alion.io/company/datarails","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":11,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":153000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"dbt","optional":true},{"name":"Looker","optional":true}],"status":"live","first_seen_at":"2026-10-26T15:01:17Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-28T05:36:04Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Datarails is the AI operating system for finance teams. We unite financial and operational data through FinanceOS, the trusted data layer for finance, and build the applications, workflows and AI experiences finance teams use to run the business.\nWe are looking for a Data Analytics Engineer with strong technical skills to join the Marketing Data team. You will be the go-to person for how Marketing and other teams measure what matters. You will define the metrics, build the analysis behind them, and keep the data underneath them reliable.\nOur marketing data model on BigQuery is already in production. You will report to the VP Growth and work directly with Marketing, Product and Sales leaders.\nWhat You'll Do\nWork with Revenue leaders to turn business questions into clear metric definitions, KPIs and measurement plans.\nBuild analysis and dashboards on acquisition, conversion, activation, feature adoption and retention.\nIdentify gaps in tracking and work with R&D to close them.\nMaintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors, BigQuery transformations).\nMonitor data quality and fix issues before they reach stakeholders.\nDocument metric definitions, models and decisions as you go.\nRequirements\nMust have\n3+ years as an analytics engineer or data analyst, preferably in B2B SaaS.\nExperience defining metrics and KPIs with business stakeholders, and specifying and building the dashboards that track them.\nExperience working across business domains (such as marketing, sales, product or finance), and quickly learning a new team’s data and questions.\nProficiency in SQL and Python for data processing, analysis and automation.\nData modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP.\nHands-on experience building and maintainingETL/ELT pipelines from multiple sources, orchestrated with Apache Airflow.\nOwnership of data observability: pipeline health, freshness and quality.\n Git and version-controlled development (branches, pull requests, code review), with familiarity with CI/CD, Docker and Terraform.\nWorks independently: can take a loosely defined question, scope it, and deliver without close technical supervision.\nNice to have\nMarketing analytics background: attribution, funnel and campaign performance.\nData modeling and pipeline experience with tools such as Fivetran, Funnel.io or dbt.\nFamiliarity with HubSpot and Salesforce data structures.\nUnderstanding of SaaS metrics (ARR, churn, CAC, LTV).\nExperience with Looker Studio or another BI 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