Manager, Analytics Engineering

Accountabilities: Lead and develop a diverse team of Analytics Engineers at different career stages, supporting their professional growth, engagement, and well-being. Collaborate with team members on analytical challenges while providing technical guidance, mentoring, and feedback. Work with data solutions managers and senior leadership to ensure appropriate and sustainable analytics engineering coverage across client engagements. Partner with clients to establish standards and guidelines for data modeling, transformation, and analytics engineering practices. Guide the implementation of analytics engineering tools and approaches that support reliable, data-driven decision-making. Develop strategies to improve data quality, consistency, and usability across data products. Strengthen project delivery by reviewing internal processes, improving core analytics engineering deliverables, and establishing data visualization guidelines. Define and monitor reporting deliverables to support project quality and client satisfaction. Optimize resource allocation by understanding team members' strengths, matching expertise to project needs, and encouraging continued skills development. Support presales activities, knowledge sharing, quality assurance, feedback collection, and internal analytics engineering processes. Monitor industry trends and recommend tools, standards, and practices that improve the team's capabilities. Requirements: Strong experience with cloud data warehouses, such as Snowflake. Intermediate to expert proficiency in data modeling approaches and methodologies, including Kimball and One Big Table (OBT). Strong expertise with data transformation tools, particularly dbt. Knowledge of common data integration patterns, including Change Data Capture (CDC) and Extract, Load, Transform (ELT). Familiarity with data integration and orchestration platforms such as Fivetran, Azure Data Factory, and Apache Airflow. Demonstrated experience mentoring, advising, and developing other engineers. Ability to assess team members' strengths and allocate resources effectively while supporting individual career growth. Strong leadership, communication, and collaboration skills. Ability to balance technical contribution with team management and client-facing responsibilities. A continuous improvement mindset and an interest in evolving analytics engineering standards and practices. Ability to work remotely and collaborate effectively across teams and client engagements. Benefits: Annual compensation range of $145,000–$160,000. Competitive pay and a comprehensive benefits package. Remote-first working environment. Collaborative culture built around trust, professional growth, and continuous improvement. Opportunities to lead a team, influence technical standards, and contribute to high-impact client projects. Commitment to diversity, equity, and inclusion. Please note that final compensation is determined after the interview process and is based on the competencies and skills demonstrated for the role. Employment visa sponsorship is not available. Candidates requiring OPT or CPT arrangements cannot be considered. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1