Analytics Engineer

About the Role

Key Responsibilities

• Build the data foundations, define key metrics, and make recommendations to guide strategic decisions and influence AI research at Google DeepMind.
• Design and implement scalable data pipelines to enable data flow and bridge gaps between upstream tools.
• Develop new technical methods to restrict sensitive data within dashboards while allowing relevant data access.
• Collaborate with stakeholders to ensure effective solutions and adjust roadmaps to enhance downstream analytics.
• Present insights and findings to senior leaders and cross-functional teams to inform investment and impact measurement strategies.

Requirements

• At least 4 years of experience working in a data role such as Analytics Engineer, Data Engineer, Data Scientist, or Product Data Analyst.
• Advanced Data Modelling in SQL, including designing, building, and optimizing data models and understanding data structure tradeoffs.
• Strong communication skills for working effectively with technical and non-technical audiences, including explaining technical concepts and translating stakeholder needs.
• Proactive and self-starting attitude with the ability to build relationships, drive projects, and solve problems.

Nice to Have

• Experience building data pipelines using tools like DBT and following software engineering best practices.
• Proficiency in Python and the Python Data Stack (e.g., Pandas, Scikit-learn, NumPy, Jupyter).
• Good project management skills, including communicating timelines, expectations, and progress.

Qualifications

• Experience working in a data-related role for at least 4 years.

Benefits & Perks

• Opportunity to contribute to AI development by providing strategic recommendations.
• Exposure to all facets of analytics, including data modeling, pipeline development, and stakeholder presentations.
• Being part of a motivated team working on complex and impactful problems.
• Competitive salary range of $122,000 - $186,000 plus bonus, equity, and benefits.