Senior Manager – Analytics Engineering Job Description
The Senior Manager – Analytics Engineering will lead a data & analytics engineering team, working as part of a broader data organization. This role is crucial in improving healthcare delivery across the Best Buy Health business, ranging from consumer health to chronic care management and acute hospital-at-home.
Key Responsibilities:
* Lead and inspire the UK-based data & analytics engineering team, fostering a positive and productive work environment where there is a focus on self-organisation, collaboration and continuous improvement;
* Manage and integrate technologies across a spectrum of cloud and open-source technologies (e.g., Snowflake, Redshift, dbt, airflow, NiFi, Databricks);
* Collaborate with cross-functional teams to ensure alignment with the company's overall data strategy;
* Oversee projects focused on (but not limited to) data generated during care delivery, ensuring timely and efficient delivery of data solutions;
* Ensure data is cleaned, processed, harmonized, and curated in alignment with industry standards;
* Serve as a thought partner to other teams during the ideation and design of new solutions.
Requirements:
* 10+ years of relevant experience with Bachelor's degree in Data Science, Health Informatics, Computer Science, or related field;
* 3 years management experience, including experience in a matrix environment;
* Experience in the following technologies: Python, dbt, Airflow, SQL;
Preferred Qualifications:
* Demonstrated ability to lead and inspire teams, particularly in dynamic environments;
* Strong communication skills to liaise with teams across different geographic regions and ensure cohesive operations;
* Experience working in a constantly transforming organization and managing change effectively;
* Significant experience working with healthcare data from hospitals, care delivery, or electronic health records;
* Demonstrated experience with: SQL and NoSQL databases (e.g., document, graph), Cloud environments (e.g., AWS, Snowflake, Databricks), Prototyping and delivering incrementally, focusing on good engineering practices while being agile and iterative based on customer needs, Architecting data engineering solutions in a healthcare context, Pragmatic balance of quality with a fast-paced schedule, Team player, ready to help, debate, compromise, and work together;
* Ability to: Dive deep into technical details while maintaining a holistic view of the broader context, Work within a geographically distributed team (US/UK).
What We Offer:
* Competitive pay;
* Generous employee discount;
* Physical and mental well-being support.