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Tinuiti
Posted 52 days agoVerified live 2d ago

Manager, Insights, Amazon Focus

Brief overview

Remote
UndergradOr in progress
$95k–$110k/yrStated range
Amazon Marketing Cloud (AMC)Amazon AdvertisingSQLData VisualizationTableauPower BIGoogle Data StudioA/B TestingPythonRPredictive ModelingCustomer Segmentation

About the company

Tinuiti is a data-driven digital marketing agency specializing in full-service online marketing.

Job description

Summary

Tinuiti is an independent full-funnel marketing agency that delivers measurable growth through media, measurement, and proprietary technology. The Manager, Insights, Amazon Focus role analyzes Amazon Marketing Cloud and Amazon Advertising data, develops client-facing reports, and translates findings into strategic recommendations. The role also supports experimentation and junior data science projects involving forecasting, segmentation, and bidding optimization.

Responsibilities

  • Data Extraction and Management: Extract, clean, transform, and load data from Amazon Marketing Cloud (AMC), Amazon Advertising (Seller Central/Vendor Central), and potentially other relevant data sources
  • AMC Expertise: Deeply understand and effectively utilize Amazon Marketing Cloud to conduct advanced audience segmentation, campaign performance analysis, path-to-conversion studies, and other custom analyses for client accounts
  • Amazon Advertising Analysis: Monitor and analyze key performance indicators (KPIs) across various Amazon Advertising channels (Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP) for our clients
  • Performance Reporting: Develop and maintain regular and client-facing reports and dashboards to visualize key trends, campaign performance, and insights
  • Insight Generation: Identify significant trends, anomalies, and opportunities for optimization within Amazon marketing and advertising data specific to client objectives
  • Strategic Recommendations: Translate data insights into actionable recommendations and present them directly to clients to improve campaign efficiency, targeting strategies, and overall marketing effectiveness on Amazon
  • Experiment Design and Analysis: Collaborate with client teams to design and analyze A/B tests and other experiments to measure the impact of marketing initiatives
  • Client Communication: Effectively communicate data findings, insights, and recommendations to clients in a clear and concise manner, both verbally and in writing
  • Collaboration: Partner closely with internal marketing managers and campaign specialists, as well as directly with client stakeholders, to understand their data needs and provide relevant analysis and support
  • Documentation: Maintain clear and concise documentation of data sources, methodologies, and reporting processes for client accounts
  • Staying Current: Keep abreast of the latest features and updates within Amazon Marketing Cloud and Amazon Advertising to provide clients with the most up-to-date strategies
  • Assist in developing predictive models for forecasting client product demand on Amazon
  • Contribute to client projects involving customer segmentation and lifetime value analysis to inform their Amazon strategy
  • Support the development of algorithms to optimize bidding strategies on Amazon Advertising for client campaigns

Skills

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline
  • Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs
  • Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success
  • Excellent analytical and problem-solving skills with the ability to interpret complex data and draw 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 create compelling client-facing reports
  • Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding
  • Strong attention to detail and a commitment to data accuracy in all client deliverables
  • Ability to manage multiple client projects and deadlines in a fast-paced environment
  • Ability to work independently and collaboratively within internal teams and directly with clients
  • Master's degree in Data Science preferred
  • Proficiency in SQL for data querying and manipulation. Familiarity with scripting languages like Python or R is a plus

Qualifications

Must Haves

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline
  • Strong proficiency and hands-on experience with Amazon Marketing Cloud (AMC). This includes data querying, audience building, and leveraging AMC tools for advanced analysis to address client needs
  • Experience with Amazon Advertising platforms (Seller Central and/or Vendor Central). Understanding of campaign structures, reporting metrics, and optimization levers is crucial for client success
  • Excellent analytical and problem-solving skills with the ability to interpret complex data and draw 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 create compelling client-facing reports
  • Excellent communication and presentation skills with the ability to effectively communicate technical findings and strategic recommendations to clients of varying technical understanding
  • Strong attention to detail and a commitment to data accuracy in all client deliverables
  • Ability to manage multiple client projects and deadlines in a fast-paced environment
  • Ability to work independently and collaboratively within internal teams and directly with clients

Nice to Haves

  • Master's degree in Data Science preferred
  • Proficiency in SQL for data querying and manipulation. Familiarity with scripting languages like Python or R is a plus

Benefits

  • We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus.
  • Unlimited paid time off
  • A fully remote environment
  • Flexibility to take the time you need, when you need it
  • 20 paid holidays, including multiple long weekends
  • Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
  • Match up to 4% of your contributions at 100%
  • Fringe
  • Forma
  • Unlimited Telemedicine and Teletherapy available at no cost
  • Thankful giving
  • Equity
  • Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.
  • On-demand learning
  • Mentorship program
  • Leadership and management development programs and resources

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