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Polymarket
Polymarket
11 – 50 Darbinieki
AzartspēlesFinansesKriptovalūtas
Polymarket ir kriptovalūtu un finanšu uzņēmums, kas pārvalda uz blokķēdes balstītu prognožu tirgu. Tās platformā lietotāji var iegādāties un tirgoties ar daļām, kas saistītas ar tādu notikumu iznākumiem kā vēlēšanas, sporta sacensības un kriptovalūtu cenu izmaiņas. Apvienojot tirgum līdzīgu tirdzniecību ar notikumu prognozēšanu, Polymarket sniedz dalībniekiem iespēju paust savu viedokli par nākotnes scenārijiem un potenciāli gūt peļņu, ja viņu prognozes piepildās.
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Vakances uzņēmumā

Analytics Engineer, Customer Experience at Polymarket (Remote)

Build the dbt models, data pipelines, and semantic layers that support Polymarket’s customer experience operations. Create reliable dashboards, metrics, and insights for CX, operations, and leadership teams.

USAmerikas Savienotās Valstis
200 000 $ – 250 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuAnalītikas inženieris
Amazon RedshiftBigQueryMākonisPythonSQL

Apraksts

  • Design and maintain dbt models for support workflows spanning ticketing, KYC, withdrawals, and market resolution.
  • Bring data from Decagon, BPO partners, CRM platforms, and workforce management tools into the cloud warehouse.
  • Develop data quality tests, monitoring, and documentation that improve confidence in reporting.
  • Establish shared metrics and dimensions in the semantic layer for consistent analysis across CX, operations, and leadership.
  • Create dashboards and self-service datasets that help CX teams resolve operational questions independently.
  • Analyze recurring support-data failures and document findings for the CX playbook and internal stakeholders.
  • Collaborate with central data engineering on shared pipelines, infrastructure choices, and data governance.

Prasības

  • At least five years of experience in analytics engineering, data engineering, or a closely related data discipline.
  • Advanced SQL skills and substantial hands-on dbt experience with modeling, testing, and documentation.
  • Experience using a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
  • Experience with ingestion tools such as Fivetran or Airbyte, plus working knowledge of Python.
  • Strong data modeling fundamentals and experience delivering systems adopted by non-technical teams.
  • Ability to investigate complex issues involving multiple variables and explain findings clearly to non-technical stakeholders.
  • Demonstrated success creating or improving data documentation, support playbooks, or process guides.
  • Previous experience working with customer support, CRM, or trust and safety data.
  • Experience using customer experience or operations data to influence product or policy decisions.
  • Familiarity with on-chain data or cryptocurrency transaction flows.

Priekšrocības

  • Equity compensation
  • Unlimited paid time off
  • Full health, vision, and dental coverage
  • 401(k) matching
  • Hardware setup including a new MacBook Pro, large display, and accessories

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