Department

Data & Analytics
Who You Are

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 are adept at understanding business challenges and framing them as enablement opportunities. You possess strong empathy, interpersonal skills, and attention to detail, enabling you to work effectively with your team and cross-functional partners. 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.

We are seeking a highly skilled and motivated Manager of Analytics Engineering with people management experience and hands-on development skills. In this "player-coach" role, you will be responsible for managing a team of analytics engineers, while also working closely with cross-functional teams to design, build, and maintain scalable data pipelines and robust data models. Your work will directly contribute to business growth by providing a reliable and accessible data foundation for analysis and reporting. This role requires a strong analytical & data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams.
Your Success Profile
What You Will Work On

• Lead and develop a team of analytics engineers, fostering their professional growth through goal-setting, coaching, feedback, and recognition.
• Guide your team in designing, implementing, and maintaining scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence, reduce time to insights, and elevate our company-wide data literacy.
• Manage project priorities and timelines for your team, ensuring the timely delivery of rigorous, impactful solutions while upholding high standards for data quality and integrity.
• Collaborate with Data & Analytics leadership and cross-functional teams (including Engineering, Operations, and business teams) to understand requirements and translate them into executable analytics engineering projects and data products.
• Contribute to the data strategy and roadmap by identifying opportunities and executing projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
• Uphold and contribute to best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.
• Build relationships with cross-functional leads to promote the adoption of new methods, technologies, and self-service data tools that help the organization scale.

How You Will Do Your Work

In the Manager, Analytics Engineering role, how results are achieved is paramount for your success and ultimately result in our success as an organization. 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
• Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.
• Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.
• 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
• Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency
• Skills and Knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You're an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You're curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You're committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You're honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity - Be like Einstein: "Everything should be made as simple as possible, but no simpler."

Qualifications

• 7+ 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.
• 2+ years in people management, with a proven track record of developing and managing high-performing teams.
• Proficiency in SQL and Python.
• Deep expertise in data warehouse architecture and dimensional modeling (e.g., Kimball).
• Demonstrated experience with a modern data stack, preferably Snowflake, Airflow, and dbt.
• Strong analytical and problem-solving skills, with the ability to work with complex datasets to transform and model them for analytical use.
• Excellent oral & written communication skills and a strong ability to collaborate with both technical and non-technical stakeholders.
• Strong project management skills, with the ability to manage multiple projects, prioritize effectively, and meet deadlines.

The base wage range for this position based in our New York City office is targeted at $166,000.00 - $214,000.00 per year.

#LI-DG2 #LI-Hybrid

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location. Salary ranges for positions based in other locations may differ based on the cost of labor in that location.

For more information about Justworks' Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks.