Job Title: Data Analyst
Department: Data Analytics
Beckett Collectibles is a leader in the trading card and collectibles industry, providing pricing, grading, authentication, and other products and services for the sport, non-sport, and gaming collector. With a focus on integrity, commitment, and accuracy, Beckett will continue to be a leader in the collectibles industry, providing dynamic products and services to collectors worldwide. Find out more about Beckett products and services at www.beckett.com.
Beckett Collectibles is seeking an exceptional Data Analyst to join our team! The Data Analyst will be responsible for end-to-end development and delivery of reporting and analysis, bridging the gap between raw data and meaningful insights to support strategic decision-making and improve operations.

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Statistics, Finance, or a related field
• 5+ years of experience in Data Analytics, BI, or Data Science (3–5 years in analysis/reporting)
• Advanced SQL skills; experience with Snowflake or similar cloud data warehouses
• Proficient in data visualization tools (Power BI, Tableau, Looker)
• Knowledge of Python and/or R for data analysis
• Strong analytical thinking and attention to detail
• Business acumen with a proactive, problem-solving mindset
• Clear communicator with the ability to present insights to technical and non-technical audiences

• Data Collection and Cleaning: Collect, clean, and analyze large datasets from various sources and ensure accuracy by removing errors or inconsistencies.
• Data Analysis: Utilize statistical methods and tools (e.g., SQL, Python, R) along with visualization platforms (e.g,. Power BI, Tableau) to identify trends, patterns, anomalies, and correlations.
• Reporting and Visualization: Develop and maintain reports, dashboards, and visualizations to clearly present findings to stakeholders, both technical and non-technical.
• Collaboration: Collaborate with cross-functional teams to identify problem statements, gather requirements, and complete data discovery to understand business needs and deliver data-driven solutions.
• Communication: Present findings and recommendations to stakeholders in a clear and concise manner.
• Data Integrity: Maintain data accuracy, integrity, and security in all analytical processes.