Senior Manager of Analytics Engineering

Join Justworks, a rapidly growing company that is revolutionizing the way businesses manage their operations. As the Senior Manager of Analytics Engineering, you will lead a team of analytics engineers and play a crucial role in shaping the company's data strategy and roadmap. You will collaborate with cross-functional teams, drive data quality improvements, and foster a culture of knowledge-sharing and collaboration. This is an exciting opportunity to make a significant impact on the company's success and growth.

• Lead the analytics engineering team, setting the technical direction and roadmap for analytics engineering, and ensuring the data foundation scales with the business.
• Own the design, implementation, and maintenance of scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence.
• Define the analytics engineering data strategy and roadmap, identifying opportunities and driving execution on projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
• You can clearly translate complex data concepts into assets that enable data-informed strategy, and have a growing track record of guiding projects to successful outcomes
• You are a data leader with a curious mindset, a passion for building, and an eye for optimization
• You thrive when enabling the strategic and effective use of data within and outside of a data team
• You possess strong empathy, interpersonal skills, and attention to detail, enabling you to work effectively with your team and cross-functional partners
• You are adept at understanding business challenges and framing them as enablement opportunities
• This role requires a strong analytical and data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams
• As a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:
• Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordingly
• Skills and Knowledge - Demonstrates the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve
• Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
• Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes
• Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders
• Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency
• Influence and Leadership - Fosters a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization
• 10+ years of experience in a data role such as analytics engineering, data engineering, or data warehousing, with hands-on experience designing and building scalable data models and ETL/ELT pipelines
• Deep expertise in data warehouse architecture, dimensional modeling (e.g., Kimball) and semantic modeling
• Demonstrated ability to influence data quality standards in teams you don't manage — e.g., partnering with Engineering and Operations teams to drive upstream fixes, data contracts and monitoring at the source
• 4+ years in people management, with a proven track record of developing and managing high-performing teams
• Excellent oral & written communication skills and a strong ability to collaborate with both technical and non-technical stakeholders
• Demonstrated experience with a modern data stack, preferably Snowflake, Airflow, and dbt
• Strong project management skills, with the ability to manage multiple initiatives, prioritize effectively, and meet deadlines
• Proficiency in SQL and Python
• Strong analytical and problem-solving skills, with the ability to work with complex datasets to transform and model them for analytical use