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Job Description
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 youll 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.
- 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.
- 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.
- 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.
- Bachelors 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.
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- 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.
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. StockXs 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.
Skills
Data VisualizationBusiness AnalyticsPythonData AnalysisData ManipulationData ScienceMachine LearningProcess ImprovementSnowflakeStatistical ModelingVisualizationData AnalystAnalystAnalyticsAiSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
In finance, stock (also capital stock) consists of the shares of which ownership of a corporation or company is divided.[1] (Especially in American English, the word "stocks" is also used to refer to shares.)[1][2] A single share of the stock means fractional ownership of the corporation in proportion to the total number of shares. This typically entitles the shareholder (stockholder) to that fraction of the company's earnings, proceeds from liquidation of assets (after discharge of all senior claims such as secured and unsecured debt),[3] or voting power, often dividing these up in proportion to the amount of money each stockholder has invested. Not all stock is necessarily equal, as certain classes of stock may be issued for example without voting rights, with enhanced voting rights, or with a certain priority to receive profits or liquidation proceeds before or after other classes of shareholders.
Stock can be bought and sold privately or on stock exchanges, and such transactions are typically heavily regulated by governments to prevent fraud, protect investors, and benefit the larger economy. The stocks are deposited with the depositories in the electronic format also known as Demat account. As new shares are issued by a company, the ownership and rights of existing shareholders are diluted in return for cash to sustain or grow the business. Companies can also buy back stock, which often lets investors recoup the initial investment plus capital gains from subsequent rises in stock price. Stock options issued by many companies as part of employee compensation do not represent ownership, but represent the right to buy ownership at a future time at a specified price. This would represent a windfall to the employees if the option is exercised when the market price is higher than the promised price, since if they immediately sold the stock they would keep the difference (minus taxes).
Stocks are a function of capitalism, and therefore the stock market operates by the price mechanism: a stock cannot be classified as an investment unless it pays a dividend – the standard dividend yield being 2% – otherwise, it must be classified as a speculation (gambling). However, if one decides to reinvest the dividends, it is not speculation, and assuming for ceteris paribus, this will lead to an exponential growth of {displaystyle FV=P*(1+r/m)*m*t}, where P is the initial investment, r is the yield, m is dividends per year, and t is number of years. A "dividend king" is a stock which has had an increasing or constant dividend yield for over 50 successive years.
Important dates & deadlines?
Application Deadline
26 May 26, 06:14 PM IST
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