Analytics Engineer, Customer Experience

Polymarket

. Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows .

Posted 10/1/2026full-timeRemote • United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and dbt for data modeling and testing, with a strong focus on building user-friendly systems and documentation. Proven ability to integrate diverse data sources and communicate complex findings to non-technical stakeholders.

Highest-signal resume keywords

Expert SQLDbt ExperienceCloud Data Warehouse ExperienceData Ingestion ToolsData Modeling Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtData ModelingData Quality TestingDocumentationData IntegrationData AnalysisPythonCloud Data WarehousingData Governance

Soft Skills

CommunicationProblem-SolvingCollaborationInfluencing

Tools & Technologies

SnowflakeBigQueryRedshiftFivetranAirbyteCRM SystemsWFM Tools

Industry Keywords

Analytics EngineeringData EngineeringCustomer SupportKYCCrypto Transaction Flows

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows
Integrate data from sources including Decagon, BPO partners, CRM systems, and WFM tools into the cloud warehouse
Build data quality tests, monitoring, and documentation so the team can trust what they're looking at
Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership are all calculating things the same way
Build dashboards and self-serve datasets that let CX teammates answer operational questions without waiting on a data request
Identify recurring failure patterns in support data and translate them into documented findings for the CX playbook and internal stakeholders
Partner with the central data engineering team on shared pipelines, infrastructure decisions, and data governance

Requirements

What you’ll need

5+ years in analytics engineering, data engineering, or a closely related data role
Expert SQL and strong hands-on dbt experience, including modeling, testing, and documentation
Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python
Strong data modeling fundamentals and a track record of building systems that non-technical teams actually use
Experience diagnosing complex, multi-variable issues and communicating findings clearly to non-technical stakeholders
Track record of building or improving documentation, whether data documentation, support playbooks, or process guides
Prior experience working with customer support, CRM, or trust and safety data
Experience influencing product or policy decisions using data from CX or operations
Familiarity with on-chain data or crypto transaction flows

Benefits

Comp & perks

Equity
Unlimited PTO
Full Health, Vision, & Dental coverage
401k match
Hardware setup: new MacBook Pro, big display, & accessories