Job description
Help empower our global customers to connect to culture through their passions.
Why you’ll love this role:
As a Lead Analyst, Marketing Analytics at StockX, you’ll be a key player in transforming our data on a global audience of 220 million annual visitors across 200+ countries. We are seeking a highly motivated and experienced Lead Analyst, Marketing Analytics, to join our dynamic Analytics team. This role will be pivotal in driving data-driven decisions that optimize our marketing strategies and improve ROI. The ideal candidate will possess a strong analytical mindset, a deep understanding of marketing metrics, and the ability to translate complex data into actionable insights. You will lead the development and implementation of advanced analytics solutions, empowering the marketing team to achieve its goals.
What you’ll do:
As a Lead Analyst for the Marketing Analytics team, you will partner with Marketing, Finance, Product and Data Engineering to leverage experimentation, predictive modeling and data storytelling to help optimize our marketing activities and overall user experience. In this role, you will be responsible for collecting, analyzing, and interpreting marketing data to provide actionable insights that drive campaign optimization and improve marketing ROI. You will work closely with marketing managers and other stakeholders to understand their analytical needs and ensure that our marketing efforts are data-driven and aligned with business objectives. Key responsibilities include:
Data Analysis & Reporting:
- Lead marketing analytics projects, ensuring timely delivery and high-quality results.
- Develop and maintain comprehensive marketing dashboards and reports to track key performance indicators (KPIs) across various channels (e.g., paid shopping, paid social, affiliate).
- Conduct in-depth analysis of marketing campaign performance, identifying trends, patterns, and opportunities for optimization.
- Analyze customer behavior and segmentation to understand audience preferences and tailor marketing strategies.
- Perform A/B testing and multivariate analysis to evaluate channel effectiveness and optimize conversion rates.
- Provide regular updates and insights to marketing leadership, highlighting key findings and recommendations.
Strategic Insights & Recommendations:
- Translate complex data into clear, actionable insights that inform marketing strategy and decision-making.
- Develop and present data-driven recommendations to optimize marketing spend and improve ROI.
- Collaborate with cross-functional teams (e.g., product, engineering, finance) to align marketing analytics with overall business objectives.
- Proactively identify opportunities to leverage data and analytics to enhance marketing effectiveness.
- Forecast future marketing performance based on historical data and market trends.
About you:
- Bachelor’s degree in Statistics, Mathematics, Economics, Marketing, or a related field (Master’s degree preferred).
- 5+ years of experience in marketing analytics and experimentation, with a proven track record of driving data-driven results.
- Strong proficiency in data analysis tools and techniques, including SQL, Python, R, and data visualization tools (e.g., Tableau, Looker).
- Expertise in web analytics platforms (e.g., Segment, Google Analytics, Adobe Analytics).
- Excellent understanding of marketing metrics and KPIs (e.g., CAC, LTV, ROAS, conversion rates).
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience with statistical modeling and machine learning is a plus.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Pursuant to the various pay transparency laws/acts, the base salary range is $120,000 to $145,000 plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses . Compensation is dependent on geography and may vary.
About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX’s powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
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, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
