Help empower our global customers to connect to culture through their passions.

About the Role

We are seeking a detail-oriented and analytical Data Analyst to transform Customer Service and operational raw data into actionable insights that support strategic decision-making across the organization and within Customer Service. In this role, you will work closely with cross-functional partners to interpret complex datasets, build reports, and develop scalable processes for ongoing analytics needs.

What you’ll do

Data Exploration & Analysis

Collect, clean, and validate large datasets from multiple internal and external sources.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Build and maintain dashboards, visualizations, and reporting tools to support leadership and stakeholders.

Business Insights & Decision Support

Translate data findings into clear, concise business insights that drive operational and strategic decisions.
Partner with product, engineering, finance, and operations teams to understand analytical needs and provide data-driven recommendations.
Perform ad-hoc analyses to support initiatives related to growth, product performance, and operational efficiency.

Data Quality & Process Improvement

Develop and maintain scalable data pipelines and automated reporting workflows.
Ensure data accuracy, consistency, and integrity across systems.
Identify opportunities to improve data collection and measurement frameworks.

Collaboration & Communication

Present insights and recommendations to technical and non-technical audiences.
Work closely with stakeholders to define metrics, KPIs, and reporting cadences.
Document methodologies, data dictionaries, and analytics processes.

About You

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
3+ years of experience in data analysis or business analytics.
Strong proficiency in SQL, including writing complex queries.
Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Mode).
Proficiency with Python or R for data manipulation and analysis.
Strong analytical thinking, problem-solving, and attention to detail.
Ability to communicate complex findings to wide-ranging audiences.

Preferred Qualifications

Experience working with large, complex datasets or cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, DataBricks).
Familiarity with A/B testing methodologies.
Knowledge of statistical modeling, forecasting, or machine learning concepts.
Experience working in an e-commerce, marketplace, or tech environment.
Experience working with customer service data.
Data-driven mindset with excellent critical-thinking skills.
Strong prioritization and project management abilities.
Curiosity and eagerness to dig into data to uncover insights.
Ability to work independently in a fast-paced environment.
Delivering reliable, well-structured insights that teams use to make better decisions.
Building scalable dashboards and reports that reduce manual work.
Improving data quality and analytical rigor across teams.
Being a trusted partner for data questions and strategic analysis.

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.

Data Analyst

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