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Senior Staff Analytics Engineer - Tech Leader, Simplifying Access To Care

Senior Staff Analytics Engineer - Tech Leader, Simplifying Access To Care

AndiamoNew York, NY, US
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Senior Staff Analytics Engineer - Tech Leader, Simplifying Access To Care

Senior Staff Analytics Engineer

Role Overview

We're seeking an accomplished Senior Staff Analytics Engineer to play a pivotal role in shaping the future of data-driven decision making. In this role, you'll architect and deliver the most critical and reusable analytics assets, setting the standard for reliability, scalability, and quality across the organization. As a technical thought leader, you'll influence the strategy behind data models and tools, while also mentoring teammates and championing best practices that elevate the entire analytics engineering discipline.

What You'll Do

  • Design and implement production-ready data models using dbt and SQL that serve as the backbone for reporting, experimentation, and insights across the business.
  • Identify inefficiencies in the current analytics ecosystem and lead initiatives to simplify, refactor, and scale datasets to meet evolving business demands.
  • Partner with product managers, analysts, and other data consumers to translate complex requirements into high-quality, reusable data assets that power self-service analytics.
  • Define and enforce standards for modeling, testing, documentation, and performance optimization within analytics engineering.
  • Encourage adoption of trusted data models by ensuring they are well-documented, easily discoverable, and seamlessly integrated with tools such as Looker and Amplitude.
  • Mentor peers through code reviews, architectural guidance, and technical coaching, raising the bar for the team's output and long-term growth.
  • Collaborate with Data Engineering and Product Engineering to influence upstream data practices, ensuring data quality and consistency throughout the pipeline.
  • Lead organization-wide initiatives to strengthen governance, reusability, and resilience of analytics infrastructure.

What You'll Bring

  • 10+ years of professional experience in analytics engineering, data engineering, data science, or a related technical discipline, with extensive work designing and scaling analytics models.
  • Expert-level SQL capabilities and strong Python skills, including automation and scripting for workflow efficiency and testing.
  • Proven experience developing and operationalizing metrics frameworks for product performance, experimentation, and machine learning use cases.
  • Deep knowledge of data modeling and warehousing, including relational databases (e.g., PostgreSQL, MySQL) and modern analytic stores (e.g., Snowflake, BigQuery, Redshift).
  • Hands-on experience designing semantic layers and dashboards in tools like Looker, with familiarity in event-based analytics platforms such as Amplitude.
  • Practical experience with orchestration and ETL frameworks (Dagster, Airflow) in dbt-driven environments.
  • Excellent communication skills, with the ability to simplify complexity, drive alignment across diverse stakeholders, and tell a compelling story with data.
  • A track record of diagnosing and resolving complex data challenges while mentoring others to strengthen organizational expertise.
  • Strong leadership in driving standards and strategies that align data practices across teams, ensuring reliability, scalability, and shared understanding.
  • About Andiamo

    Andiamo is a globally recognized staffing and consulting firm specializing in placing the top 2% of technology and go-to-market professionals with the world's largest and most well-known companies.

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