Manager, Data Science & Analytics - Amazon

Needham, MA, United States

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Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do.

Job Description:

We are seeking a highly skilled Manager, Data Science & Analytics (Amazon) to join our team. Reporting to the Director, Data Science & Analytics (Amazon), the Manager, Data Science & Analytics is primarily responsible for the build and execution of reporting and analytical projects while also contributing to strategic initiatives. The ideal Manager, Data Science & Analytics will possess strong analytical skills, a deep understanding of the Amazon ecosystem, and a passion for leveraging data to drive business growth.

Key Responsibilities:

  • Execute reporting and analytical projects to support the Amazon marketplace strategy.
  • Develop and maintain reports and dashboards using tools like Tableau and Power BI to track performance metrics and present findings to senior leadership.
  • Collaborate with internal teams to implement Amazon-specific strategies based on data-driven insights.
  • Utilize advanced data analytics, including predictive modeling, statistical analysis, data mining, and machine learning, to support decision-making and strategic planning.
  • Assist in the creation and maintenance of a Global Amazon Reporting Center of Excellence.
  • Manage data collection, integration, validation, and storage processes to ensure data integrity and accessibility.
  • Support process automation and AI/ML integration initiatives.
  • Conduct market research and competitive analysis to inform reporting and analytical projects.
  • Identify opportunities to enhance business processes and drive operational efficiency through data insights.

Your Role within the Team:

  • Foster a data-driven culture, leveraging data analytics for informed decision-making.
  • Provide insights from data analytics, identifying trends and opportunities to support business decisions.
  • Contribute to the development of forward-looking data strategies to create new competitive advantages.
  • Ensure data integrity, security, and compliance with relevant regulations.
  • Mentor junior data professionals and support their development.

Duties and Responsibilities:

  • Develop and maintain dashboards (Tableau / Power BI) to support information requirements.
  • Implement data analytic tools to enhance data analytics capabilities.
  • Identify and interpret trends in complex data sets.
  • Ensure compliance with data privacy regulations and robust data security measures.
  • Stay informed about advancements in data analytics, technologies, and industry best practices.
  • Collaborate with the Amazon Data Science & Analytics Director on strategic initiatives to optimize the Amazon marketplace performance.
  • Support the execution of strategic projects that align with the company’s overall objectives and growth plans.

Desired Skills and Experience:

  • Proven experience (3+ years) in a data analytics role, preferably in the CPG industry or a related field.
  • Bachelor’s or master’s degree in data science, computer science, statistics, or a related field.
  • Expertise in data analysis, statistical modeling, data mining, and machine learning techniques.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R, SQL).
  • Experience with big data platforms, cloud-based data analytics solutions, and data warehousing.
  • Strong business acumen and ability to translate complex data into actionable insights.
  • Knowledge of regulatory requirements and best practices related to data privacy and security.
  • Excellent communication and presentation skills, with the ability to convey complex concepts to technical and non-technical stakeholders.
  • Experience with Amazon Vendor & Seller Central, Digital Shelf Tools, Full Funnel Media, and Audience Marketing Cloud data sets.
  • Analytical thinker with strong problem-solving skills.
  • Driven, eager to learn, and a collaborative team player.
  • Ability to adapt to a fast-paced and dynamic work environment.
  • Ability to contribute to strategic planning and execution.

Join us as the Manager, Data Science & Analytics (Amazon) and play a crucial role in executing data-driven projects and contributing to strategic initiatives that drive business growth. Apply today to be part of our dynamic team and help shape the future of our Amazon marketplace presence through technology and data!

 

At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.   YOUR ROLE in leading our SUCCESS DRIVERS & representing our UNIQUE MINDSET
  • Lead us to be “RARELY SATISFIED” 
  • Make things better each day; “PROGRESS OVER PERFECTION”
  • Use your knowledge of our consumer, understand that “DETAILS MAKE THE DIFFERENCE”
  • Deliver something great; “WINNING IS A TEAM SPORT”
  • Be clear and honest, “COMMUNICATING FOR IMPACT” 
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We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

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Tags: Big Data Computer Science Data analysis Data Analytics Data Mining Data visualization Data Warehousing Machine Learning Market research Power BI Predictive modeling Privacy Python R Research Security SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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