Data Solutions Analyst bridging Sales, Data Science, and Product teams for data validation. Ensuring accurate data-driven decisions through collaboration and analysis.
Responsibilities
Review and Triage Data Validation Tickets
Assess incoming data related tickets for completeness, clarity, and accuracy.
Join sales calls acting as a first line of defense to address data related concerns directly with clients.
Act as a subject matter expert to explain data nuances and prevent unnecessary escalations to the Data Science team.
Validate requests using internal tools and compare public data against proprietary (VGI/ST) sources.
Collaborate with the ST/VGI team to surface differences between public and internal data sets.
Flag and redirect any non actionable or duplicate requests.
Prioritize and Coordinate Workflows for Sales and Data Science teams
Develop and maintain a ticket prioritization framework to help the Data Science team focus on high impact issues.
Support cross functional initiatives between the Sales, Product, and Data Science teams.
Provide feedback and insights to improve internal data tools and customer experience.
Requirements
A bachelor’s degree in a quantitative, analytical, or business-related field
Analytical skills and high attention to detail
Proficiency with pivot tables, lookups, basic formulas
Familiarity with SQL for data querying and validation
Excellent communication and interpersonal skills, especially in cross functional settings
Comfortable working with sales teams and customers to explain data insights and managing multiple tasks in possible time sensitive situations
Ability to research and synthesize market trends, competitor data, and industry benchmarks
Experience in reviewing and interpreting public financial statements
While we value fluency with AI tools in the workplace, we encourage candidates to refrain from using generative AI to produce answers for assessments or live interviews. Our goal is to see your genuine, unassisted thought process and approach
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