Polymarket
Polymarket
11 – 50 कर्मचारी
क्रिप्टोजुआवित्त
Polymarket क्रिप्टो और वित्त क्षेत्र में काम करने वाली एक कंपनी है, जो ब्लॉकचेन-आधारित पूर्वानुमान बाज़ार संचालित करती है। इसका प्लेटफ़ॉर्म उपयोगकर्ताओं को चुनावों, खेल प्रतियोगिताओं और क्रिप्टोकरेंसी की कीमतों में होने वाले उतार-चढ़ाव जैसी घटनाओं के परिणामों से जुड़े शेयर खरीदने और उनका कारोबार करने की सुविधा देता है। बाज़ार-शैली के कारोबार को घटनाओं के पूर्वानुमान के साथ जोड़कर, Polymarket प्रतिभागियों को भविष्य की संभावित स्थितियों पर अपनी राय व्यक्त करने और पूर्वानुमान सही होने पर संभावित लाभ कमाने का अवसर देता है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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