Senior Manager, Analytics Engineering

United States Digital Space LLC; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Justworkers seeks a Senior Manager of Analytics Engineering in New York to lead the analytics engineering team, shape data modeling standards, and drive scalable data solutions across the business.

You will partner with BI, Data Governance, and Platform Engineering to ensure data quality, build self-service tools, and mentor engineers to grow their careers.

Qualifications

• Experience designing scalable data models and ETL/ELT pipelines
• Strong understanding of data warehouse architecture and BI integrations
• Proven ability to lead and develop analytics engineers
• Excellent collaboration with cross-functional teams and stakeholders

Responsibilities

• Own the design, implementation, and maintenance of scalable data models and ELT pipelines.
• Define the analytics engineering data strategy and roadmap.
• Lead and develop a team of analytics engineers; manage priorities and growth.
• Collaborate with BI, Data Governance, and Platform Engineering to deliver data products.

Skills

Data modeling

ELT pipelines

Star schema

Analytics engineering

Team leadership

Job description

Who We Are

At the company, you'll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.

We're helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We're data-driven and never stop iterating. If you'd like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we'd love to hear from you.

We're united by shared goals and shared motivations at the company. These are best summed up in our company values, which are reflected in our product and in our team.

Our Values

If this sounds like you, you'll fit right in.

Department

Technology, Data & Analytics

The Data & Analytics team is the company's data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!

The Analytics Engineering team sits at the center of how the company turns raw data into the foundation for trustworthy analysis and reporting across the company.

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're seeking a Senior Manager of Analytics Engineering to lead our analytics engineering team, reporting directly to our Senior Director of Data & Analytics. You'll set the technical direction and roadmap for analytics engineering, grow and develop your team, and partner closely with Business Intelligence, Data Governance, and Data Platform Engineering leadership to make sure our data foundation scales with the business.

You'll stay close enough to the work to be a credible technical voice (reviewing designs, unblocking hard modeling problems) while representing analytics engineering in broader DNA and cross-functional planning and decision-making. 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.

Your Success ProfileWhat You Will Work OnData Modeling & Technical Direction

• Own the design, implementation, and maintenance of 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.

• 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.

• Uphold and evolve best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.

• Lead significant data architecture decisions - including data model design and implementation choices that affect teams beyond your own.

Team Leadership & Development

• Lead and develop a team of analytics engineers, fostering their professional growth through goal-setting, coaching, feedback, and recognition.

• 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.

• Recruit, hire, and scale the analytics engineering team as our data platform and organizational needs grow.

Cross-Functional Partnership & Delivery

• Collaborate with Data & Analytics leadership and cross-functional teams (Engineering, Operations, and business teams) to understand requirements and translate them into executable projects and data products.

• Partner with and influence upstream teams to raise the bar on data quality at the source, advocating for changes that prevent downstream data and reporting issues.

• Build relationships with cross-functional leads to promote the adoption of new methods, technologies, and self-service data tools that help the organization scale.

• Serve as the senior voice for analytics engineering in cross-functional and DNA leadership planning conversations, representing your team's capacity, priorities, and tradeoffs.

How You Will Do Your Work

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

• Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.

• Influence and Leadership - Fosters 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 - Demonstrates 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