{"id":2119748,"url":"https://alion.io/job/preply-staff-analytics-engineer-2","title":"Staff Analytics Engineer","company":{"id":181313,"name":"Preply","domain":"preply.com","url":"https://alion.io/company/preply","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":54,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kyiv, Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":82000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":248},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-02-02T10:26:29Z","employer_posted_date":"2026-02-02","last_verified_at":"2026-10-17T03:14:12Z","board_verified":true,"closed_at":null,"days_open":256,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":255},"description":"We power people’s progress.\nAt Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.\nWe’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.\nEvery Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.\nMeet the team!\nAt Preply, data is foundational to how we build, experiment, and scale our product. We run hundreds of A/B tests at any given time, power a complex two-sided marketplace, and increasingly rely on data to enable AI-driven personalization and decision-making.\nOur analytics platform supports teams across Product, Growth, Finance, and Engineering/AI, and its quality directly impacts the speed and confidence of company-wide decisions.\nAs a Staff Analytics Engineer, you will play a critical role in shaping the analytical foundations of Preply. You’ll operate at a company-wide level, setting standards, designing scalable data models, and influencing how analytics engineering is practiced across teams. This is a role for someone who wants to build systems that others build on.\nOur Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!\nWhat you’ll be doing\nLead the design and evolution of core analytical data models across key business domains, ensuring clarity, scalability, and long-term sustainability.\n\nDefine and champion analytics engineering standards (modeling patterns, naming conventions, testing strategies, documentation) used across the organization.\n\nBuild and optimize robust ETL/ELT pipelines that handle multi-terabyte data volumes with high reliability and performance.\n\nOwn and evolve our BI and semantic layer (Looker / LookML), enabling intuitive, performant, and truly self-service analytics.\n\nPartner closely with Data Scientists, Product Managers, and Engineers to streamline analytical workflows and reduce duplicated logic (SSOT).\n\nDrive initiatives focused on data quality, reliability, and governance, ensuring decision-critical datasets are trustworthy and well-documented.\n\nInfluence company-wide data strategy to support rapid product experimentation, marketplace growth, and large-scale personalization.\n\nWork closely with the engineering team to provide valuable data products for Experimentation, Engineering and Applied AI teams.\n\nAct as a technical leader and mentor within the Analytics Engineering discipline, raising the bar through example, reviews, and architectural guidance.\n\nWhat you need to succeed\nExtensive experience in analytics engineering, data engineering, or related roles, operating on complex, high-impact data systems.\n\nExpert-level proficiency in SQL, with experience using Python in data workflows.\n\nProven track record of designing scalable analytical data models that support experimentation, reporting, and strategic decision-making.\n\nAdvanced hands-on experience with dbt, Looker, Airflow, or similar tools.\n\nDeep understanding of data modeling best practices, analytics architecture, and self-service BI platforms.\n\nStrong business acumen, with the ability to translate ambiguous problems into clear, data-backed solutions.\n\nExceptional communication skills, with the ability to influence and align stakeholders across technical and non-technical teams.\n\nA proactive, strategic mindset, you look beyond immediate tasks to improve systems, standards, and long-term outcomes.\n\nFluency in English (C1 level or above).\n\nNice to have\nExperience scaling data platforms in high-growth or post-Series C startups.\n\nProven experience defining and standardizing event taxonomies, KPIs, and canonical metrics.\n\nStrong experience working with AWS or Google Cloud data ecosystems.\n\nPrevious experience mentoring or coaching other data professionals. #LI-VL1\n\nOur Principles\nCare to change the world - We are passionate about our work and care deeply about its impact to be life changing.\n\nWe do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.\n\nKeep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.\n\nNow is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.\n\nDisciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.\n\nDive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.\n\nGrowth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.\n\nRaise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.\n\nChallenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.\n\nOne Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.\n\nDiversity, Equity, and Inclusion\nPreply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.","description_format":"text","description_chars":6569,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity","Growth opportunities"],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EdTech Platforms","Language Learning"],"lifecycle":[{"event":"open","at":"2026-10-08T23:52:29Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.37,"p_room":0.28,"age_days":255,"expected_fill_days":19,"reasons":["seen:255","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/preply-staff-analytics-engineer-2","json_url":"https://alion.io/job/preply-staff-analytics-engineer-2.json","meta":{"generated_at":"2026-10-17T04:26:14Z","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":5782,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":181313},"rest":"https://alion.io/mcp/rest/get_company?id=181313"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpreply-staff-analytics-engineer-2"},{"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%2Fpreply-staff-analytics-engineer-2"},{"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%2Fpreply-staff-analytics-engineer-2"},{"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/preply-staff-analytics-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpreply-staff-analytics-engineer-2"}]}