Senior Manager, Data Analytics

Real people. Real service.

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential.

As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.

We are looking for a Senior Manager, Data Analytics to join our Finance Team. This individual will report into our Vice President of FP&A and Analytics and will oversee a team of Data Analysts and a Data Scientist. They will drive high-impact insights and measurement, and lead the evaluation and rollout of scalable self-serve analytics with strong governance.

This role requires strong stakeholder leadership, a practical understanding of data architecture, and familiarity working in a Google Cloud Platform (GCP) environment. While our current collaboration model is centralized, this individual will help evolve our model over time as our business needs grow.

This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington.

This position requires travel to our headquarters in Melville, NY 6 times per year for internal meetings and team building activities. Additional travel may be required based on department and company needs.

We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open.

Role Type: Full-Time, Exempt

Location: Remote

Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. EST

Base Salary: $145,000 – $180,000 per year

Responsibilities:

• ​Manage, coach, and develop the team by setting clear goals, supporting career growth, and maintaining high standards of quality
• Own team execution through intake and prioritization, roadmap planning, stakeholder communication, and reliable delivery of insights and analyses
• Establish best practices for analytics delivery (e.g.: documentation, QA, reproducibility, peer review, and governance)
• Partner with leaders and teams across functions such as Marketing, Merchandising, Fulfillment Operations, Customer Service, and Human Resources to define the right questions, metrics, and measurement approaches
• Translate ambiguous business questions into structured analysis, decision-ready recommendations, and success metrics to track impact post-launch
• Standardize governed KPI definitions and create a proactive culture of controlled measurement and accountability
• Lead selection and implementation of a cross-functional BI tool including requirements gathering, evaluation, proof-of-concepts, and cost/value analysis
• Define governance for the BI ecosystem (e.g.: shared metrics definitions and documentation standards)
• Drive adoption through enablement such as training, templates, office hours, and continuous improvement based on feedback
• Partner with Data Engineering and IT to ensure analytics needs are met through strong data modeling, reliable pipelines, and clean source-of-truth datasets
• Bring fluency in GCP-based analytics environments (e.g.: BigQuery and related tooling) to guide scalable analytics design and best practices
• Advocate for data quality and reliability through monitoring, lineage, documentation/cataloging, and consistent definitions across domains
• Operate effectively in a centralized team model today while identifying opportunities to improve responsiveness and impact
• Propose and help implement future-state approaches (e.g.: embedded analysts for key functions, hub-and-spoke, hybrid support, etc.) as the company scales

Requirements:

• Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Engineering, or a related field
• ​A minimum of 7 years of experience in Analytics/BI/Data (or equivalent)

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