Payrate: $ - $
Summary: Summary:
The Program manager Data Analytics is the primary owner of program cost modeling, scenario analysis, and financial reporting, for the Company’s Value Added Services Program. 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 skills, financial acumen, and stakeholder management to identify cost reduction opportunities, formalize and optimize pricing strategies, and ensure the long-term sustainability and growth of Company’s value-added service portfolio.
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, which reflect planned return rates, refurbished product sales, service center post refurbishment yields, post launch product reliability goals and sales projections.
- Partner with Product Management, 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 (, pricing adjustments, offer changes, sales channel shifts).
- Artificial Intelligence (AI): Develop, utilize and operationalize tools and methods using AI to track key performance indicators, measure program success, and deliver standardized reports on project status, business performance, risks, and opportunities.
- 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.
Qualifications: - Bachelor’s degree in Mathematics, Data Science, Engineering, Business administration, Finance, or a related technical field, or equivalent practical experience.
- + years of experience in data analytics, financial modeling, or program cost management, with demonstrated proficiency in SQL and scripting languages such as Python.
- + years of experience solving analytical problems using quantitative approaches, leading data-driven projects from definition to execution, including defining metrics, experiment, design, and communicating actionable insights.
- Experience with data visualization tools (, Tableau, Excel, Looker Studio, etc. ) and building dashboards for financial and operational reporting.
- Proficiency in data driven quantitative analysis geared towards drawing actionable insights from complex datasets.
- Knowledge and experience working with desktop software applications such as Google Workspace, and Lucidchart.
- Experience performing innovative exploratory analysis with minimal direction to answer ambiguous open -ended questions.
- Proven to effectively collaborate across a variety of technical and non-technical functions to drive towards common product goals.
- Strong Verbal and written communication skills, problem solving skills, attention to detail and interpersonal skills.
- Strong ability to work independently and manage one’s time.
- Strong knowledge of business and management principles related to strategic planning, resource allocation, and production methods.
Desired Skills: - Verbal and written communication skills, problem solving skills, attention to detail and interpersonal skills.
- Strong ability to work independently and manage one’s time.
- Strong leadership and mentoring skills necessary to provide support and constructive performance feedback.
- Strong knowledge of production processes, quality control, costs and other techniques for maximizing the effective manufacture and distribution of goods.
- Strong knowledge of business and management principles involved in strategic planning, resource allocation, and production methods.
- Strong knowledge of computer software, such as MS Word, MS PowerPoint, MS Project, Visio etc.
Pay Transparency: The typical base pay for this role across the is:
$ - $ /hour. Non-exempt positions are eligible for overtime at a rate of times the base hourly rate for all hours worked in excess of in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, paid days off, days paid bereavement leave, (k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.
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