adjoe
adjoe
201 – 500 Darbinieki
B2BMārketingsVideospēles
adjoe ir mobilās reklāmas tehnoloģiju uzņēmums, kas lietotņu izdevējiem un reklāmdevējiem nodrošina rīkus monetizācijai, lietotāju piesaistei un lojalitātes veidošanai. Uzņēmuma iekšējā platforma ietver piedāvājuma puses starpniecības risinājumu adjoe Exchange, kā arī reklāmas formātus un uz SDK balstītus produktus, piemēram, adjoe Ads, Playtime un adjoe Arcade. Šajos produktos tiek izmantoti apbalvotas spēlēšanas un lojalitātes mehānismi, lai veicinātu ieņēmumus, iesaisti un lietotāju noturēšanu. adjoe pievēršas arī auditoriju mērķēšanai, analītikai, krāpšanas novēršanai un informācijas drošībai, plašā mērogā savienojot reklāmdevējus ar mobilo ierīču lietotājiem.

Staff AdTech Data Analyst at adjoe - Hamburg Hybrid

Lead analysis of large-scale AdTech data supporting adjoe’s mobile app growth and monetization platform. Build reliable data systems, dashboards, and anomaly detection workflows across the analytics stack.

Apraksts

  • Own internal dashboards, alerting tools, and data pipelines that track the user funnel, engagement, and reward consistency.
  • Examine multi-terabyte streams of ad impressions, bids, and conversion events to uncover actionable insights.
  • Perform detailed analyses with SQL, Python, and Trino.
  • Develop real-time Tableau visualizations for monitoring product performance.
  • Manage and coordinate data pipelines through Airflow.
  • Create anomaly detection frameworks for identifying data drift, tracking losses, and inconsistencies.
  • Assess the complete AdTech data environment, spanning tracking specifications, APIs, data lakes, and event pipelines.
  • Partner with engineering on infrastructure enhancements and technical decisions.
  • Define technical standards and implement automated data quality monitoring.
  • Create analytics modules that can be reused across projects.
  • Coordinate priorities and decisions among engineering, product, and commercial teams.
  • Provide strategic guidance on advertising tools and operational practices.

Prasības

  • At least seven years of experience as a Data Analyst or Analytics Lead in AdTech.
  • Advanced SQL and Python skills for processing multi-terabyte ad impression, bidding, and conversion data.
  • Strong experience designing anomaly detection frameworks with clustering, distribution analysis, and cross-population comparisons.
  • Technical knowledge of the end-to-end AdTech stack, including tracking specifications, API integrations, data lake architecture, and event pipelines.
  • Ability to assess technical tradeoffs and recommend infrastructure improvements to engineering teams.
  • Experience defining technical standards across a team.
  • Background building production-ready data quality suites, automated monitoring pipelines, and reusable analytics modules.
  • Practical experience with dbt and Airflow is required.
  • Ability to align engineering, product, and commercial stakeholders around shared priorities.
  • Skill in translating complex telemetry into clear strategic direction.
  • Willingness or ability to work on site in Hamburg three days each week.

Priekšrocības

  • Relocation assistance for moving to Hamburg, Germany.
  • Chance to lead projects serving 770 million users.
  • Work alongside a diverse international team from more than 40 countries.
  • Access to ongoing learning and development with support from colleagues.
  • Fast-moving setting where solutions are delivered frequently.
  • Collaborative role involving engineering, product, and commercial teams.

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