About the Role
We’re looking for a Senior Data Analytics Engineer remote who is eager to take ownership of their craft. This role sits at the intersection of data engineering and analytics, partnering directly with business leaders to build scalable data models, pipelines, and insights that drive decisions. If you’re someone who understands the “why” behind the data and thrives in an environment where you can architect solutions end-to-end, this is the opportunity to make a meaningful impact.
What You’ll Do
- Own the design and development of data pipelines and ETL processes.
- Build and optimize scalable data models powering reporting and analytics.
- Partner cross-functionally to translate business needs into technical solutions.
- Standardize data across systems (finance, CRM, marketing, etc.) into clean, usable models.
- Deliver actionable insights through dashboards and reporting.
- Drive data quality, governance, and best practices.
Requirements
- 2–7 years in data analytics, analytics engineering, or similar.
- Strong SQL and data modeling expertise.
- Experience with ETL and data warehousing concepts.
- Familiarity with dbt (or strong interest in mastering it).
- Confidence owning projects and driving outcomes independently.
- Strong communication skills with the ability to influence stakeholders.
Nice to Have
- Snowflake, Power BI or Tableau experience.
- Python and Git/version control knowledge.
- Exposure to machine learning concepts.
- Agile environment experience.
What We Offer
- High visibility and direct impact on business decisions.
- Real ownership in a growing data environment.
- Opportunity to shape data architecture and best practices.
- Relocation support available for those looking to advance their Data Science career.
This Senior Data Analytics Engineer role offers a unique opportunity to work remotely while driving impactful data solutions. With strong relocation support, it's perfect for those looking to advance their careers.
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