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Analytics Engineer

Airbyte LogoAirbyte
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Salary

$140,000- $150,000 + a generous equity package, and benefits listed below for US Market

Location

San Francisco. Hybrid, Tuesday, Wednesday, Thursday

We are seeking a highly skilled and experienced Analytics Engineer to join the Data Team. In this role, you will work closely with product managers, engineers, and functional leads to build and maintain robust data pipelines and analytics infrastructure. You will be responsible for ensuring that data is accurate, accessible, and actionable, enabling our team to make informed product decisions. You will also play a key role in providing product feedback, helping us refine and improve our offerings based on firsthand experience.

What You'll Do

  • Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines using Airbyte.
  • Analytics Engineering: Develop and optimize data models, transformations, and visualizations using dbt, BigQuery, Metabase, and Metaplane.
  • Data Analysis: Analyzing data to provide insights on product performance, customer behavior, financial metrics, etc.
  • Reporting: Creating dashboards and reports that provide stakeholders with the necessary data to make informed decisions.
  • Product Feedback: Actively use our own product, providing valuable feedback to the product team to help improve the Airbyte platform.
  • Collaboration: Work closely with product managers and function leads to understand data needs, deliver insights, and support product development initiatives.

What You'll Need

  • Experience: 3+ years of experience in data engineering, analytics engineering, or data analysis, with a strong focus on building and maintaining data pipelines and analytics infrastructure.
  • Technical Expertise: Proficiency in dbt, BigQuery, Metabase, Metaplane, or similar tools. Experience with ELT processes and data integration tools is essential.
  • Data Modeling: Strong understanding of data modeling principles and experience in designing and optimizing data models for analytics.
  • Data Analysis: Expertise in analyzing large datasets and identifying trends, anomalies, and actionable insights.
  • Problem Solving: Ability to troubleshoot data-related issues and optimize data processes.
  • Attention to Detail: Ensuring data accuracy and integrity in all outputs.
  • SQL Mastery: Advanced SQL skills with the ability to write complex queries and optimize performance in large datasets.
  • Cloud Experience: Hands-on experience with cloud platforms, particularly Google Cloud Platform (GCP).
  • Communication: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Belief in our values

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