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Data Analyst

Heritage Auctions

Salary not specified
Oct 30, 2025
Dallas, TX, United States of America
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Heritage Auctions is seeking a Data Analyst to help business leaders leverage existing capabilities in business operations and reporting. This role will execute departmental processes for gathering or cleaning data and answer ad-hoc requests for queries.

Requirements

  • Experience developing or operating reporting solutions using SQL data warehouses that are reliable and perform at high levels
  • Preference for experience with other analytical tools such as Power BI, else other tools like Excel Power Query, Python, R, notebooks
  • Proficiency in Microsoft applications, primarily Teams, Outlook, Excel, Word
  • Seeking 3-5 years of experience of writing queries or developing solutions with SQL or relational databases

Responsibilities

  • Executes department processes to provide reporting, data, or recommendations for internal clients
  • Monitors the execution of pre-developed scripts or procedures and QA the output for successful execution or for follow-up
  • Configure or fine-tune procedures to fix process gaps and adapt. May need to review process outcomes in conjunction with clients to find a resolution
  • Maintains current solutions' adaptation to existing applications and delivers small-scale enhancements to improve performance
  • Creates formal knowledge transfer materials for other team members, as needed
  • Escalate process gaps or findings for resolution with other experts on the team. May recommend changes to departmental processes to better meet objectives such as speed, accuracy, value
  • Contributes to organization success by responding to ad-hoc requests for root cause analysis of service incidents, business observation deep dives, or other required uses of a data expert

Other

  • Strong interpersonal and communication skills.
  • Strong analytical skills and attention to detail
  • Preferred: a customer or member of the collectible community, who may better understand industry standards and expectations of internal and external clients
  • Bachelor's degree in quantitative field (Computer Science, Statistics, Math, or other) preferred