Lead Services Ops Analyst

This role serves as a data strategy consultant and senior analytical partner for the Home Services online portfolio. The Lead Decision Analyst works cross-functionally with Product Managers, UX, Merchants, Marketing, and Data Engineering/Science teams to evaluate web content upgrades, design experimentation frameworks, maintain analytics pipelines, and deliver actionable insights that reduce customer friction and grow the online lead-generation funnel. This position also acts as a Product Manager for analytics—defining analytical solutions rather than just executing requests.

Responsibilities

• Business Collaboration (20%) – Leverage business knowledge to shape analytical solutions. Build trust and collaboration with internal customers and cross-functional teams. Partner with other organizations to explore new tools and maintain technical agility for advanced analytics.
• Project Management & Team Support (25%) – Lead and manage large, complex projects and teams. Prioritize work, ensure quality, and distribute workload/resources. Serve as a technical subject matter expert (SME) in predictive and prescriptive analytics. Drive Agile project delivery to surface reliable, actionable enterprise-level insights. Mentor the team on processes and standards.
• Solution Development (30%) – Communicate insights and recommendations to technical and non-technical stakeholders. Develop solutions that transform data into actionable information. Clearly articulate the impact of recommendations to drive alignment and implementation.
• Technical Exploration & Development (25%) – Guide project teams in requirements gathering, design, and development of complex applications. Educate the analytics community on advanced techniques. Drive team maturity in predictive and prescriptive analytics.

Qualifications

• Must be 18 years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications

• Master’s degree in a quantitative field (Statistics, Analytics, Economics, Computer Science, Information Systems, or related).
• 7+ years of experience in data analytics, with at least 3 years in online/digital analytics or e-commerce.
• Expert-level proficiency in SQL (BigQuery) for analysis, pipelining, and reporting.
• Working knowledge of Adobe Analytics (or similar clickstream platforms) for online behavioral analysis.
• Working knowledge of Python for data analysis and automation; ML modeling experience is advantageous.
• Working knowledge of Tableau for data visualization and executive dashboarding.
• Strong understanding of A/B testing, causal inference, and hypothesis testing (z-test, t-test, chi-square, ANOVA, CausalImpact, difference-in-differences).
• Understanding of Dataform and/or medallion architecture (bronze/silver/gold) patterns is advantageous.
• Familiarity with AI-based storytelling and automated insights (MCP servers, LLM-generated narratives, Vertex AI).
• Experience with Google Cloud Platform (BigQuery, GCS, Vertex AI, Dataform).
• Working knowledge of GitHub for version control.
• Experience with Jupyter Notebooks for exploratory analysis.
• Demonstrated expertise in data analysis, visualization, and translating insights into effective presentations.
• Ability to manage requests and roadmaps for insights across merchandising, marketing, and leadership teams.
• Experience partnering with organizations to build KPI frameworks.
• Track record of defining analytical solutions for ambiguous business problems (product thinking).

Education

Bachelor’s degree in a related field (required). Master’s degree in a quantitative field (preferred).

Experience

Minimum 6 years of work experience (required). 7+ years of work experience (preferred).

Travel & Physical Requirements

• Typically requires overnight travel 5% to 20% of the time.
• Mostly sedentary work with frequent movement; occasional need to move or lift light articles.
• Located in a comfortable indoor area with infrequent unpleasant conditions.

Competencies

• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Develops Talent
• Drives Results
• Manages Conflict