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Terminix · 21 hours ago

Sr. Pricing Analyst, Residential Acquisition

United States

Full-time

Remote

Mid, Senior Level

$92K/yr - $120K/yr

3+ years exp

Terminix is a member of the Rentokil family of companies, a global leader in Pest Control and other services. They are seeking a Sr. Pricing Analyst to drive the analytical strategy behind new customer acquisition for their Residential pest control business, focusing on optimizing pricing structures and promotional effectiveness.

Building MaintenanceCommercialConsumerFacilities Support ServicesHome ServicesProfessional ServicesService Industry

No H1B

Responsibilities

Acquisition Strategy Execution: Maintain and refine pricing models specifically for Residential new customer acquisition. Evaluate the profitability of introductory offers, discounts, and "first-service" pricing across different geographies

Offer Testing & Optimization: Design and measure A/B tests for promotional offers. Analyze "take rates" and conversion elasticity to determine the optimal price points that maximize volume without eroding margin

Strategic Segmentation: Build multi-variable segmentation models to isolate the drivers of margin mix. Use these findings to design pricing guardrails that bridge the gap between marketing/sales targets and operational reality

Data Mining & LTV Modeling: Utilize advanced SQL to extract granular transactional data. Model the downstream impact of acquisition offers on long-term value (LTV) and churn to ensure we are acquiring profitable customers, not just volume

Dashboard Development: Develop and maintain PowerBI dashboards to monitor and report performance, providing real-time visibility into acquisition trends, sales velocity, and margin mix

Cross-Functional Collaboration: Partner with Residential Sales Leadership, Marketing, and Finance to ensure acquisition pricing tools are competitive and operationally sound

Support Automation: Leverage Python, R, or Alteryx to automate the tracking of campaign performance, replacing manual Excel trackers with scalable, automated reporting

Qualification

SQLPower BIFinancial modelingData analysisPythonA/B testingBuilder MindsetCommunication skills

Required

Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related technical field required

3+ years of experience in data analysis, business intelligence, or financial planning and analysis (FP&A)

Proven experience in a B2C / Residential recurring revenue environment (e.g., Home Services, Telecom, Security, Insurance)

Strong Proficiency in SQL for data retrieval and manipulation

Experience with business intelligence platforms (e.g., Power BI, Tableau to design interactive reports and operationalize insights

Advanced Excel skills (PivotTables, VLOOKUP, financial modeling) are essential

Solid understanding of financial metrics (Gross Margin, Lifetime Value, Churn, etc.) and competitive benchmarking

Exceptional communication skills with the ability to present complex data to non-technical stakeholders

Builder Mindset: You do not wait for 'clean' datasets to drive strategy; instead, you build the logic, proxies, and triangulation methods needed to extract directionally correct insights from messy sources

No sponsorship or OPT available

Preferred

Deep understanding of Acquisition Economics: Experience analyzing customer acquisition funnels, CAC, promotional ROI, and sales commission structures is highly preferred

Experience designing and analyzing A/B tests to validate pricing hypotheses (e.g., measuring the elasticity of a $10 price increase on conversion rates)

Demonstrated success in analyzing large datasets and translating them into business recommendations

Familiarity with Python, R, or Alteryx for advanced automation is considered a plus, but not a requirement