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Strategic Data Engineer
2 weeks ago
At the intersection of data engineering, product analytics, and commercial impact lies a vital role that will enable data-driven decisions across the business. As a Product Engineer/Analytics Engineer, you'll turn data into insights that influence product direction, customer success, and revenue growth.
This position plays a critical part in building and maintaining data pipelines, supporting A/B testing infrastructure, uncovering insights across customer journeys, and ensuring our data ecosystem is robust and actionable.
- Design and develop scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
- Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
- Work closely with the product team to develop and drive product strategy and new feature development.
- Collaborate with cross-functional teams, including customer success, sales, and marketing, to support commercial strategies with data solutions.
- Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement.
- Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau, or Power BI to present insights to stakeholders.
- Write and optimize complex SQL queries for data analysis and support decision-making processes.
- Ensure data integrity and quality through regular audits, validations, and monitoring.
- Assist in the development of metrics and KPIs to measure the success of business initiatives.
- Partner with commercial teams to analyze performance data and support customer-facing initiatives.
- Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
- 5+ years of experience in data engineering, ETL development, or a related role.
- Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
- Advanced SQL skills, including query optimization and database modeling.
- Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker).
- Familiarity with A/B testing methodologies and ability to analyze experiment results.
- Solid understanding of Excel, including advanced functions and pivot tables.
- Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills to present data-driven insights to non-technical stakeholders.
- Ability to work collaboratively in a team-oriented environment.
- A proactive mindset and eagerness to learn new tools and technologies.
- Competitive compensation package with equity.
- Flexible location and work-from-home options.
- Medical, vision, and dental coverage.
- Flexible vacation and PTO policies.
- Supportive, highly collaborative team environment.
As a Product Engineer/Analytics Engineer, you'll be part of an innovation-driven, high-growth company on a mission to improve people's lives. You'll have the opportunity to shape the future of learning and driving growth by working on cutting-edge projects that combine data engineering, product analytics, and commercial impact.