• Lead Payer Contract Analytics practice on a fractional basis • Develop pipeline through network and targeted outreach • Serve as the senior relationship owner on engagements • Present findings and guide negotiation strategy • Identify expansion opportunities • Direct methodology and quality standards for offshore analytics team • Review deliverables before client presentation • Partner with Technical Lead on execution • Shape offerings and positioning based on market feedback • Develop referral partnerships and contribute to go-to-market strategy

• Support the development of data-driven features for pricing and promotion strategies to improve revenue and profitability. • Build, test, and maintain analytical models for demand forecasting, price sensitivity, and promotion performance with guidance from senior team members. • Apply data science, data analysis, machine learning, and statistical techniques to help solve retail business problems such as forecasting accuracy and promotion effectiveness. • Analyze structured and unstructured retail data to identify trends, understand customer behavior, and generate actionable insights. • Collaborate with cross-functional teams to implement and scale data solutions, and communicate findings through clear analysis and visualizations.

• Act as a playing coach in product and marketing analytics; • Identify root causes of changes in product KPIs; • Lead user behavior analysis and funnel analysis; • Lead design, evaluation, and interpretation of experiments; • Partner closely with Product, Marketing, and Growth teams; • Lead, mentor, and develop a team of product analysts; • Build and scale a systematic marketing analytics framework; • Serve as the main analytics partner for stakeholders.

• Tell clear, business-relevant stories about our talent using data and insights. • Get hands-on with AI to explore where it meaningfully improves insight generation, decision support, and experimentation. • Design, own, and evolve the People data foundation, including pipelines and BigQuery data models, in partnership with Data Engineering and HR Operations. • Build scalable analytics products and tools, including Tableau dashboards and AI-enabled products. • Partner cross-functionally with People Team and business leaders to identify and scope high-impact talent questions, analyze using quantitative methods, and translate insights into clear, actionable recommendations. • Own initiatives end-to-end across the People Team (Recruiting, Talent Management, DEIB, and more). • Foster a culture of data-informed decision-making across the People Team and the broader organization.