Sr. Strategist, Commerce
Remote -CA, United States
Full Time Senior-level / Expert USD 100K - 120K
Tinuiti
Tinuiti is the largest independent full-funnel performance marketing agency in the US across the media that matters most.Who we are:
Tinuiti is the largest independent performance marketing firm across Streaming TV, Google, Meta, and Amazon, with almost $4 billion in digital media under management and over 1,200 employees. With industry-leading expertise in search, social, Amazon and marketplaces, addressable TV, mobile apps, Influencer, Lifecycle, and more, Tinuiti understands that success requires both strategy and channel expertise. Our goal when we come to work every day is simple - to grow happiness. For our clients, their customers, our people and our partners. Growing happiness guides everything we do and our core values - Unleash Greatness, Never Stop Learning, Ignite Your Passion, Thankful Living, and Inspire Innovation & Change - inspire us to maintain a culture where our people take pride in their work and have fun doing it.
We support 100% remote work for this role!
We’d love to hear from you if:
Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you think you qualify, but don't necessarily meet every single point on the job description, please still get in touch.
As a Sr. Strategist for Amazon Marketing Cloud within Tinuiti's Client Delivery team, you will play a crucial role in providing data-driven insights and strategic recommendations directly to our clients. You will be instrumental in leveraging data from Amazon Marketing Cloud (AMC) and Amazon Advertising to optimize their marketing performance and achieve their business goals on the Amazon platform. You will work closely with client-facing marketing managers, campaign specialists, and other stakeholders, both internally and externally, to translate complex data into clear, compelling narratives and actionable strategies. This role also offers opportunities to contribute to data science projects, providing a pathway for growth within the company.
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.
Junior Data Science Projects (Examples):
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.
Qualifications:
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
Master’s degree in Data Science preferred
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.
Proficiency in SQL for data querying and manipulation. Familiarity with scripting languages like Python or R is a plus.
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.
The hiring salary range for this role is ($100,000 - $120,000). We also offer an incentive pay program (RevShare) comprising a monthly variable revenue payment opportunity and a discretionary annual performance bonus.
Hiring salaries are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, parity with other team members, and alignment with market data. We will provide more information on our benefits, incentive pay, and equity upon request. Disclosure as required by the Colorado Equal Pay for > Equal Work Act, C.R.S. § 8-5-101 et seq.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Benefits:
Unlimited PTO: At Tinuiti, we believe you deserve time to rest and enjoy life unplugged from your devices. When you take time for yourselves, you’re able to bring your best self to work. That’s why we prioritize flexibility, a fully remote environment, and offer unlimited paid time off.
Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
Retirement: Match up to 4% of your contributions at 100% with immediate vesting
Perks and Wellness: Fringe, Forma, Thankful giving, Equity
Learning and Development: Mentor program and more
Disclaimer: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. Tinuiti is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
Tags: A/B testing Classification Computer Science Data Studio Data visualization Economics KPIs Mathematics Power BI Python R Research SQL Statistics Streaming Tableau
Perks/benefits: Career development Equity / stock options Health care Salary bonus Unlimited paid time off Wellness
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