{"id":1467948,"url":"https://alion.io/job/planet-analytics-engineer","title":"Analytics Engineer","company":{"id":711629,"name":"Planet","domain":"weareplanet.com","url":"https://alion.io/company/weareplanet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":12,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Porto, Portugal","Galway, Ireland","Warsaw, Poland"],"countries":["PT","IE","PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":68000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":937},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-29T15:23:24Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T03:40:11Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Planet\nPlanet is a global provider of integrated technology and payments solutions for retail and hospitality customers.\nWe create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.\nPlanet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.\nFounded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.\nRole overview:\nAs an Associate Analytics Engineer, you will take increased ownership in building and maintaining analytics-ready data models that support reporting, dashboards, and business decision-making. This role builds on foundational analytics engineering skills and focuses on independent delivery, data quality, and consistent application of best practices using dbt, SQL, and Snowflake.\nYou will work closely with Senior Analytics Engineers, Data Analysts, Data Engineers, and business stakeholders to transform raw data into clean, tested, and well-documented datasets. Compared to the AAE role, this position requires less day-to-day guidance and greater accountability for the quality and reliability of delivered models.\nThe AAE II is expected to be a reliable individual contributor, capable of owning well-scoped analytics transformations end-to-end while continuing to grow toward senior-level responsibilities.\nWhat you will do\nDesign & Develop Analytics Models\nIndependently develop Bronze → Silver dbt models following established standards.\nContribute to Gold-layer models and analytics outputs under guidance.\nApply dimensional modeling concepts (facts, dimensions) to support analytics and BI use cases.\nData Transformation & dbt Development\nUse dbt to build, test, and document analytics models.\nRefactor existing models to improve clarity, performance, or consistency.\nApply reusable patterns and macros where appropriate.\nData Quality & Testing\nImplement appropriate dbt tests (e.g. not null, uniqueness, accepted values) for all owned models.\nValidate data outputs against business logic and expected behaviour.\nIdentify potential data quality issues early and work with peers to resolve them.\nPerformance & Reliability\nBe mindful of model performance and warehouse costs.\nApply basic optimisation techniques (e.g. filtering, incremental models) with guidance.\nMonitor model runs and respond to failures or anomalies.\nCollaboration & Stakeholder Support\nWork closely with analysts to understand reporting and data requirements.\nSupport analytics use cases by ensuring data is well-structured and clearly defined.\nCommunicate progress, risks, and blockers proactively.\nDocumentation & Knowledge Sharing\nOwn documentation for delivered models and columns using dbt.\nWrite clear, business-friendly definitions aligned with shared terminology.\nContribute to shared team documentation, standards, or playbooks.\nContinuous Improvement\nSuggest improvements to existing models, tests, or workflows.\nLearn and apply analytics engineering best practices.\nBegin supporting junior engineers through knowledge sharing or informal guidance.\nWho you are\n3-6 years of experience in analytics engineering, analytics, or a closely related role\nStrong SQL skills and experience working with analytics datasets\nPractical experience using dbt for transformations, tests, and documentation\nExperience working with a modern data warehouse (e.g. Snowflake)\nFamiliarity with BI and analytics consumption patterns\nNice to Have\nExposure to semantic layers or shared metrics\nExperience supporting Power BI or similar BI tools\nFamiliarity with Git-based workflows and CI checks\nUnderstanding of incremental modeling and performance tuning basics\nWhy Planet\nPlanet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.\nCome and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce.\nWe would love to hear from you - Apply no w.\nAt Planet, we embrace a hybrid work model, with three days a week in the office.\nReasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.","description_format":"text","description_chars":4417,"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":["Hybrid work"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Travel Technology","Currency Exchange & FX Payments"],"lifecycle":[{"event":"open","at":"2026-09-29T15:23:24Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/planet-analytics-engineer","json_url":"https://alion.io/job/planet-analytics-engineer.json","meta":{"generated_at":"2026-10-01T04:45:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4261,"day_limit":5000,"remaining_today":739,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}