Lead Services Ops Analyst

About the role

The Lead Services Ops Analyst (Lead Decision Analyst) at The Home Depot's Services Online Analytics team acts as a data strategy consultant and senior analytical partner for the Home Services online portfolio. Working with Product Managers, UX, Merchants, Marketing and Data Engineering/Science teams, the role evaluates web content upgrades, designs experimentation frameworks, maintains analytics pipelines and delivers insights that reduce customer friction and grow the online lead-generation funnel. It reports to a Senior Manager or above and has no direct reports.

Key responsibilities

• Business collaboration: turn business knowledge into solution approaches, build trust with internal customers and cross-functional teams, and partner with other organizations on new tools.
• Project management and team support: lead large, complex projects, set priorities, distribute workload, act as a technical SME on predictive and prescriptive analytics, and mentor analysts.
• Solution development: communicate insights and recommendations to technical and non-technical leaders and turn data into actionable information.
• Technical exploration: guide teams on requirements, design and development of complex applications, and educate the analytics community on advanced analytics.

Required profile

• At least 6 years of work experience, preferably 7; minimum age 18 and legal right to work in the United States.
• Bachelor's degree or equivalent; a Master's in a quantitative field is preferred.
• 7+ years of data analytics experience, with at least 3 years focused on online/digital analytics or e-commerce.
• Expertise in translating analysis into presentations and identifying insights that solve business problems.

Required skills

• SQL (BigQuery) for analysis, pipelining and reporting
• Clickstream analytics such as Adobe Analytics
• Python for analysis and automation; ML modeling is advantageous
• Tableau for dashboards
• A/B testing, causal inference and hypothesis testing (z-test, t-test, chi-square, ANOVA, CausalImpact, difference-in-differences)
• Dataform and medallion architecture patterns are advantageous
• Familiarity with AI-based storytelling (MCP servers, LLM-generated narratives, Vertex AI) and Google Cloud Platform is advantageous