Data Analyst

This listing is synced directly from the company ATS.

Role Overview

This mid-level Data Analyst role involves analyzing data to support strategic decisions, building reports and dashboards, and ensuring data quality across systems. The analyst works closely with stakeholders to translate business needs into data solutions, driving insights for GTM, Product, and Business functions. This position is central to informing organizational decisions through data.

Perks & Benefits

This is a fully remote role, offering flexibility in work location and likely a modern tech stack. The position provides opportunities for career growth by working with scalable data infrastructure and cross-functional teams. It suits those seeking impact at the core of data-driven decision-making in a dynamic environment.

Full Job Description


We are hiring a Data Analyst to join our data team, which drives cross-company insights and supports decision-making across GTM, Product, and Business functions.

Responsibilities:

  • Analyze and interpret data to support strategic and operational decisions

  • Build and maintain reports, dashboards, and visualizations used across the company

  • Work closely with stakeholders to understand business needs and translate them into data solutions

  • Ensure data quality, consistency, and reliability across systems

Requirements:

  • 3+ years of experience as a Data Analyst

  • Strong analytical skills and attention to detail

  • Proficiency in Python and SQL

  • Experience working with large-scale data environments

  • Hands-on experience with Snowflake and/or Databricks – required

  • Familiarity with AI coding tools (e.g., Claude Code, Cursor)

  • Experience working with Git

Tech stack:

  • Snowflake / Databricks

  • Modern BI and data visualization tools

  • Experience working in scalable data infrastructure

Education:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required

  • Master’s degree in a relevant field – preferred

Preferred qualifications:

  • Experience working with large and complex datasets

  • Strong business understanding and ability to translate data into actionable insights

  • This role is suited for someone who wants to be at the core of how data informs decisions across the organization.

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