Job Description

Job Title: Manager of Refurbish Market Analytics

Top Skills: Data Analysis, Communication, Problem Solving

Schedule: Hybrid (Monday-Thursday in office, Friday remote)

Job type: W2, Contract

The Manager of Refurbish Market Analytics will work to synthesize insights through data analysis to enable data-driven decisions that help grow the client's Residual Value. The Manager will work with existing tools and processes and will need to implement new strategies to monitor and predict the client's Residual Value in the secondary market. This role will oversee the current reporting and analytics requirements to support the business. They should be a strategic, analytical, and detail-oriented individual who has the capacity to lead a team along with inter-team collaboration skills. They must be able to apply a wide range of knowledge, technical skills, and abilities to design and recommend strategic initiatives that drive sellout and market share.

Responsibilities and Duties

• Provide critical analytical support for business decision-making involving cross-departmental and multi-functional areas.
• Manage the Data Strategy, Performance Analytics, and Data Science that focuses on driving sellouts, incremental revenue, and strategy development through data analysis, data exploration, collaboration, ideation, target implementation, performance tracking, predictive analytics, and opportunity identification.
• Develop channel-centric and geography-based sales performance trackers to support the development of targets, demand generation campaigns, and guide marketing investments.
• Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights and recommendations and articulate the story behind the numbers.
• Conduct industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical assessment.
• Support the leadership in establishing and maintaining regular automated reporting that analyzes data from multiple sources to provide insights into the performance of the Mobile business in the secondary market.
• Collaborate with internal teams in developing and maintaining predictive forecasting models.
• Prepare presentations and updates to leadership and headquarters.

Background/Experience Required

• Bachelor’s degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study or 6+ years of work experience in Retail performance analytics, Data analytics, Sales Analytics, or Strategic Planning.
• Advanced Excel and PowerPoint skills; intermediate skills with Tableau, R, Python, and SQL.
• Ability to source, combine, and synthesize large amounts of data from various sources to complete statistical modeling, A/B testing, cluster analysis, sample size calculations, and tests of significance.
• Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.
• Strong analytical skills with the ability to understand root cause and effect.
• Capability to thrive in a dynamic, fast-changing environment that requires a high degree of multi-tasking with minimal supervision.
• Plan, organize, and prioritize multiple complex assignments and projects. Read and interpret detailed and complex customer requirements.

Necessary Skills and Attributes

• Demonstrated ability to interact at all levels within customer organizations.
• Ability to negotiate with and convince others, in a potentially adversarial environment, including customer leadership, directors, and managers with opposing views to accept/approve plans, technical and project recommendations.
• Ability to plan, organize, and prioritize multiple strategic programs and simultaneous performance objectives.
• Ability to understand different data sources, combine them, and run advanced analytics and reporting to gain actionable insights and opportunities for the Retail teams to address.
• Ability to write, read, interpret, explain, and act based on a thorough understanding of technical documents, engineering materials, and contracts or related documents.
• Ability to make professional sales and business presentations in writing, through email, reports, or orally, including complex business and technical matters to an audience of high technical skills, management, and operational experience.
• Ability to support a cross-functional team to achieve customer contracted objectives and specific team goals within established time frames and requirements.

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