Senior Analytics Engineer

About the role

This role focuses on analytics engineering for MetaMask, a key product within Consensys. The primary responsibilities include developing robust data models, establishing key performance indicators (KPIs), and constructing dashboards that provide actionable insights. Success in this position means delivering reliable data infrastructure and clear visualizations that empower business understanding and decision-making.

The work involves ensuring the quality and comprehensive documentation of data assets. This includes maintaining data integrity and clarity for various stakeholders. The ideal candidate will contribute to a data environment where information is easily accessible, understandable, and trustworthy, directly supporting the strategic goals of the MetaMask product team.

The position requires a professional with a solid background in analytics engineering, specifically someone who can translate complex data into understandable business metrics. Experience in a public company setting is noted as a relevant background, suggesting a need for understanding data governance and reporting standards that might be present in such environments.

The gross annual salary for this global remote position ranges from $100,000 to $140,000.

Skills that matter here

• SQL: This role requires proficiency in SQL for data querying, manipulation, and defining data models.
• dbt: Experience with dbt is necessary for transforming and managing data within the analytics pipeline.
• BI tools: The role involves using business intelligence tools, specifically Looker, to create dashboards and visualize data.
• Looker: Proficiency in Looker is needed to develop and maintain analytical dashboards for business insights.
• Python: Python skills are required, likely for scripting, data processing, or automation tasks within the analytics workflow.
• Snowflake: Experience with Snowflake is expected for managing and querying large datasets.

Who this role suits

• A person who thrives on structuring complex data into clear, usable formats.
• Someone who enjoys defining and tracking key business performance indicators.
• An individual who prioritizes data accuracy and thorough documentation.
• A professional with experience navigating data environments common in public companies.

From the employer

• Design data models.
• Create business metrics (KPIs).
• Develop dashboards.
• Ensure data quality and documentation.

• 6+ years in analytics engineering.
• Experience in public companies.
• Proficiency in SQL, dbt, BI tools (Looker), Python, Snowflake/BigQuery.

• Salary for global remote: ~$100,000 – $140,000 gross per year.