Key Responsibilities

Site Selection & Pipeline Management: Own analytical processes for hospital site selection, integrating predictive models, demographic data, and performance scorecards to prioritize and rank candidate locations.

M&A; & Business Development: Deliver data-driven insights and valuation metrics to support clinic acquisitions, partner integrations, and executive readouts for real estate committees.

2. Customer Insights & Revenue Optimization

Customer Behavior Analytics: Analyze complex customer datasets to uncover trends in appointment utilization, service frequency, and cross-category attach rates (e.g., Rx diets, wellness plans, retail follow-ups).

Forecasting & Pricing Strategy: Partner with business leaders to build operational and financial forecasts, evaluating pricing structures, promotions, and service bundles to maximize customer lifetime value (LTV) and unit economics.

3. Advanced Analytics & Data Engineering

Data Integration: Extract, clean, and model complex datasets from disparate sources (veterinary management systems/EHR, POS, CRM, and cloud warehouses like Snowflake/BigQuery) using SQL, Python, or R.

Predictive Modeling & Experimentation: Design and deploy statistical models, clustering algorithms, and test-and-learn frameworks; partner with Enterprise Data Science to adapt machine learning models to clinical and service operations.

4. Business Intelligence & Executive Communication





Dashboards & Scorecards: Design, automate, and maintain interactive BI dashboards (Tableau, Power BI, or Looker) tracking core operational KPIs, clinic throughput, and customer satisfaction.

Strategic Storytelling: Translate complex quantitative findings into concise visual reports and executive presentations for technical and non-technical stakeholders.

Qualifications & Experience

Education: Bachelor’s degree in Business Analytics, Statistics, Economics, Mathematics, Data Science, Computer Science, or a related quantitative field.

Experience: 2–4 years of experience in business analytics, data science, or strategic consulting (experience in retail, healthcare, veterinary care, or subscription business models preferred).

Technical Skills:

SQL & Data Warehousing: Advanced SQL skills with hands‑on experience in cloud environments (Snowflake, BigQuery, AWS, etc.).

Programming & Modeling: Proficiency in Python or R for data manipulation, statistical analysis, and automation.

BI & Visualization: Expertise in Tableau, Power BI, or Looker, along with strong presentation design skills.

Core Competencies:

Strong business acumen with the ability to navigate ambiguous problems and deliver actionable recommendations.

Exceptional written and verbal communication skills across cross-border and multi-disciplinary teams.

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📌 Business Analyst, Pet Services (Santiago de Querétaro)
🏢 Petco
📍 Santiago de Querétaro