Remotery

Senior Commerce Media Strategist, Amazon DSP

Posted Jun 10

This is a fully remote position, open to applicants in United States.

📋 Description

• Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources.

• Gain a thorough understanding of Amazon Marketing Cloud to perform advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts.

• Track and evaluate key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients.

• Create and manage regular reports and dashboards for clients that visualize key trends, campaign performance, and insights.

• Identify critical trends, anomalies, and optimization opportunities within Amazon marketing and advertising data tailored to client objectives.

• Convert data insights into actionable recommendations and present them directly to clients to enhance campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon.

• Collaborate with client teams to design and assess A/B tests and other experiments to gauge the impact of marketing initiatives.

• Communicate data findings, insights, and recommendations to clients clearly and concisely, both verbally and in writing.

• Work closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to comprehend their data needs and provide relevant analysis and support.

• Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts.

• Stay updated on the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to deliver the most current strategies to clients.

• Assist in the development of predictive models for forecasting client product demand on Amazon.

• Contribute to client projects involving customer segmentation and lifetime value analysis to enhance their Amazon strategy.

• Support the creation of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns.


⛳️ Requirements

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.

• Master’s degree in Data Science is preferred.

• Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC).

• Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central).

• Excellent analytical and problem-solving abilities with the capacity to interpret complex data and derive meaningful conclusions relevant to client business objectives.

• Strong data visualization skills and experience with tools such as Tableau, Power BI, or Google Data Studio to produce engaging client-facing reports.

• Proficiency in SQL for data querying and manipulation.

• Familiarity with scripting languages like Python or R is a plus.

• Exceptional communication and presentation skills capable of effectively conveying technical findings and strategic recommendations to clients with varying levels of technical understanding.

• Ability to manage multiple client projects and deadlines in a fast-paced environment.

• Capacity to work both independently and collaboratively within internal teams and directly with clients.


🏝️ Benefits

• Unlimited PTO: At Tinuiti, we believe you deserve time to rest, recharge, and enjoy life unplugged.

• 20 paid holidays, including multiple long weekends, to ensure you have dedicated time to step away and disconnect.

• Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts.

• Retirement: Match up to 4% of your contributions at 100%.

• Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving.

• Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.

• Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources.

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