About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analytics Engineer based in the United States.
This is a hands-on, customer-facing Analytics Engineer role embedded with an enterprise client’s growth team.
Responsibilities
- Build, maintain, and debug complex SQL queries that power audience creation and email and direct mail campaigns.
- Work closely with an enterprise client to understand its business objectives, data environment, technical challenges, and operational requirements.
- Design and implement scalable data models supporting analytical and operational use cases.
- Investigate data discrepancies, compare datasets and tables, analyze deltas, and identify the root causes of data issues.
- Support live campaign workflows and recurring weekly deliverables, ensuring accurate and timely execution.
- Contribute to the migration to a new cloud data environment by rebuilding recurring processes and improving existing workflows.
- Automate manual data processes and develop more scalable, reliable, and repeatable pipelines and tooling.
- Partner with client stakeholders to provide technical guidance and help shape data-driven business decisions.
- Identify opportunities to improve internal processes, tooling, data quality, and operational efficiency.
- Take end-to-end ownership of assigned data workflows and contribute beyond the immediate scope when doing so helps deliver better outcomes for the customer.
Requirements
- At least 2 years of hands-on experience writing, reading, and debugging complex SQL queries in a production environment.
- Strong practical experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
- Solid understanding of data engineering fundamentals, including data pipelines, ETL, reverse ETL, event streaming, and data modeling.
- Ability to investigate complex data issues and translate business questions into practical technical solutions.
- Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Comfortable working directly with enterprise customers and developing a deep understanding of their business and data needs.
- Highly responsive and organized, with the ability to deliver reliably against recurring deadlines and quickly shifting priorities.
- Strong ownership mentality and high agency, with a demonstrated ability to identify problems, make decisions, and drive solutions through to completion.
- Comfortable operating in environments characterized by ambiguity, complexity, rapid change, and incomplete information.
- Curious, adaptable, collaborative, and willing to provide direct and constructive feedback while continuously developing technical skills.
- Must be based in the United States and authorized to work in the U.S. on an ongoing basis without visa sponsorship.
Conditions
- On-target earnings of $110,000–$120,000 USD, with total compensation including equity and potential variable compensation.
- Equity participation, allowing employees to share in the value they help create.
- Spot bonuses for major milestones and successful product feature launches.
- Clear career progression opportunities and opportunities for cross-functional collaboration.
- Remote-first work environment with team members and leaders across North America and beyond.
- Flexible, goal-based working style designed to support autonomy and productivity.
- Flexible time off.
- Monthly company-wide Recharge Days to fully disconnect and recharge.
- Annual home office stipend to support a productive remote workspace.
- Company-paid medical coverage for individual employees, with strong contributions toward dependent coverage, plus dental and vision benefits.
- Life and disability coverage.
- 401(k) program with a generous company match.
- Quarterly hackathons for team passion projects and experimentation.
- Annual professional development stipend.
- Opportunities to work directly with an experienced executive team.
- Learner-focused culture that encourages continuous development and experimentation.