Analytics Engineer — Remote Data & Campaign Automation

Doist; United States; Remote; USD 110,000 - 120,000; Full time

Benefits offered by this job

Equity

Remote‑First culture

Home office stipend

Health coverage

Professional development

Job summary

Doist is seeking an Analytics Engineer for the Strategic Accounts Customer Solutions Group. This remote, United States-based role embeds with an enterprise client’s growth team to own data work end to end, from ETL to campaigns, with weekly deadlines and significant ownership.

You’ll build audiences, refine scripts, and design scalable data models while collaborating with stakeholders across technical and non-technical teams.

Qualifications

• 2+ years of hands-on SQL in a production environment.
• Experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks).
• Understanding of data pipelines and data engineering concepts.
• Ability to communicate with both technical and non-technical partners.
• Thrives under tight, recurring deadlines with quick turnarounds.

Responsibilities

• Build and edit SQL to power audience building and campaigns.
• Work directly with a single enterprise client to understand their data needs.
• Design scalable data models supporting analytics and operations.
• Improve internal workflows and tooling for efficiency and repeatability.
• Act as a thought partner for client stakeholders on data decisions.
• Investigate data discrepancies and analyze deltas between tables.

Skills

SQL

Data warehousing

Data pipelines

Stakeholder communication

Tools

BigQuery

Snowflake

Redshift

Databricks

Job description

Doist is seeking an Analytics Engineer for the Strategic Accounts Customer Solutions Group. This remote, United States-based role embeds with an enterprise client’s growth team to own data work end to end, from ETL to campaigns, with weekly deadlines and significant ownership.

You’ll build audiences, refine scripts, and design scalable data models while collaborating with stakeholders across technical and non-technical teams.