Senior Analytics Engineer (Remote)

Job summary

The role involves ensuring data quality and integrity across the organization, moving beyond traditional analytics practices. The Senior Analytics Engineer will oversee analytics quality, build automated quality checks, and mentor teams on data literacy while handling complex analyses.

Qualifications

• 3–5+ years of experience in data analytics, data science, or data quality/reliability roles.
• Strong proficiency in Python and SQL, with the ability to read and optimize code.
• A solid understanding of statistics and data science, with a keen QA instinct.
• Familiarity with AI-assisted workflows and automated data tools.
• Experience in high-volume environments such as social media or web analytics.
• Fluency in English is essential.

Responsibilities

• Review analytics work across the company to ensure sound reasoning and valid conclusions.
• Develop automated test datasets and quality checks to enhance scalability of quality controls.
• Conduct high-stakes analyses for complex business questions.
• Ensure data quality at the source and establish standards for correct data.
• Mentor non-technical teams on using AI analytics tools responsibly.

Skills

• Strong Python and SQL skills.
• Data science and QA mindset.
• Familiarity with AI tools and skepticism of their outputs.

Education

• Relevant degree in a related field is preferred but not explicitly stated.

Tools

• Experience with databases, data modeling, and cloud platforms (GCP) is a plus.
• Proficiency with GitHub and automation tools like n8n is advantageous.