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Job Description

The Data Analyst is the primary owner of program cost modeling, scenario analysis, and financial reporting, for the Value Added Services Program and partners closely with Product, Sales, New Product Introduction, Service Operations, and Data Science teams to drive data-informed decisions that maximize program impact, profitability and operational efficiency. This role requires a blend of technical data analysis, financial acumen, and stakeholder management to identify cost reduction opportunities, formalize and optimize pricing strategies, and ensure the long-term sustainability and growth of Meta’s value-added service portfolio.

Job Responsibilities:

• Support the Value added Services end-to-end program total cost per unit modeling, to include pricing, margin, net revenue, and profit analysis for Refurb for Sale, Warranty Plus, End of Life and Out of Warranty programs.

• Partner with the New Product Introduction team to develop cost models that reflect key operational metrics, that reflect planned return rates, refurbished product sales, service center post refurbishment yields, post launch product reliability goals and sales projections.

• Partner with Product, Sales, and International Pricing teams to align on pricing strategies and ensure regional consistency across value added service products.

• Develop and maintain robust reporting frameworks to monitor key financial and operational metrics, including claims profiles, cash flow, and program health.

• Identify and inform on VAS Program cost optimization opportunities across packaging, shipping and harvesting.

• Conduct data-driven scenario and what-if analyses to quantify the financial and operational impact of measuring program changes and success (e.g., pricing adjustments, offer changes, sales channel shifts).

• Lead cross-functional reviews to communicate program performance, risks, and opportunities, and provide actionable recommendations to leadership.

• Analyze and inform optimization of extended warranty cash reserve; provide actionable insights to support efficient capital management and compliance with program requirements.

• Collaborate with Service Operations to forecast claims emergence, ensure cash and refurbished unit availability, and inform service planning leading to efficient execution.

• Leverage large and complex datasets to perform exploratory and statistical analyses, drawing actionable insights to inform program strategy and investment decisions.

• Support the development and execution of Scalable program growth models, financial forecasts, and investment cases to expand the Value-Added Services portfolio.

• Work with large and complex data sets to solve a wide array of challenging problems by applying continuous innovation, challenging the status quo and using different analytical and statistical approaches.

• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

• Metrics and Reporting: Develop and track key performance indicators to measure program success, providing regular reports to stakeholders on project status, risks, and opportunities.

• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

• Coordinate projects, making detailed plans to accomplish goals and directing the integration of technical activities.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 3+ years of experience in analytics, financial modeling, or program cost management, with demonstrated proficiency in SQL and scripting languages such as Python.

• 3+ years of experience solving analytical problems using quantitative approaches, leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

• Experience with data visualization tools (e.g., Tableau) and building dashboards for financial and operational reporting.

• Proficiency in data driven quantitative analysis geared towards drawing actionable insights from complex datasets

• Experience performing innovative exploratory analysis with minimal direction to answer ambiguous open -ended questions

• Proven to effectively collaborate across variety of technical and non-technical functions to drive towards common product goals.