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Senior Data Analytics Engineer (8766)
Job Description
Foundational Analytics | dbt | Snowflake | High-Impact IC Role
A high-growth company is hiring a Senior Data Analytics Engineer to build the data foundation that powers trustworthy reporting, self-serve insights, and data-driven decision-making across the organization.
This is a ground-floor opportunity to own the core analytics engineering layer end-to-end — from defining foundational metrics and scalable data models to implementing best practices that will support long-term growth.
This is a senior individual contributor role where you’ll lead through technical ownership, influence, and execution while setting standards future hires will build upon.
What You’ll Do Build the Data Foundation
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Execute the analytics engineering roadmap, prioritizing high-leverage data initiatives
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Design and implement a single source of truth using scalable data models (dimensional modeling, star schemas, modular marts)
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Develop canonical business definitions and standardized metrics across teams
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Manage and evolve a modern analytics stack (dbt, Snowflake, Git, CI/CD workflows)
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Establish best practices for modeling, testing, documentation, naming conventions, and dataset ownership
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Improve trust in data through quality checks, observability, and clear guidance on trusted datasets
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Partner cross-functionally with Product, Engineering, Finance, and GTM to deliver impactful data solutions
Enable Self-Serve & Decision-Making
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Build curated datasets and semantic-friendly layers that support consistent BI and reporting
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Develop dashboards and analytics tools that empower stakeholders to self-serve confidently
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Translate ambiguous business questions into structured, scalable data products (not one-off analyses)
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Communicate analytical findings clearly and provide actionable recommendations
Lead Through Technical Ownership
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Serve as the analytics engineering voice in architectural and technical decisions
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Drive cross-functional projects from discovery through delivery
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Promote data literacy through documentation, metric definitions, and enablement
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Collaborate with product leaders during discovery to identify high-impact data opportunities
What We’re Looking For Analytics Engineering & Modeling Expertise
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5–8+ years in analytics engineering, data engineering, BI, or related roles
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Advanced SQL proficiency and experience with modern cloud warehouses (Snowflake preferred)
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Strong hands-on experience with dbt (or similar frameworks), including modular design, testing, and documentation
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Deep experience designing scalable data models (star schemas, canonical metrics, shared dimensions)
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Experience supporting reliable reporting via BI tools (Looker, Tableau, Mode, etc.)
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Working knowledge of Python for scripting and automation
Engineering Rigor & End-to-End Ownership
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Experience owning pipelines from ingestion through BI consumption
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Familiarity with Git workflows and CI/CD practices for analytics code
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Experience implementing data quality and reliability frameworks (dbt tests, monitoring, SLAs, etc.)
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Strong understanding of modern data architecture tradeoffs and scaling strategies
Business Partnership & Senior IC Capabilities
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Proven ability to translate vague business needs into structured data solutions
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Strong communication skills and ability to align stakeholders on definitions and outcomes
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Excellent prioritization skills, focusing on high-impact work
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Comfortable operating in ambiguity while maintaining quality and trust
Bonus Experience
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Semantic modeling layers (LookML or similar)
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Workflow orchestration tools (Airflow, Dagster, Hevo, etc.)
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Startup or high-growth tech environments
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Data cataloging or metadata management tools
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Statistical analysis or experimentation experience
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Exposure to AI/ML applications
Why This Role Is Compelling
This is a rare opportunity to define and scale the analytics function at a growing organization. You’ll have the autonomy to establish standards, influence tooling decisions, and make an immediate impact on business outcomes.
If you thrive at the intersection of strategy and hands-on execution — and enjoy building scalable systems from the ground up — this role offers meaningful ownership and visibility.
Meet Your Recruiter
Josh Hansen
Technical Recruiter
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