<div><b>Data Solutions Analyst </b></div><div><br /></div><div>This role acts as a key connector between the Sales, Data Science, and Product teams, ensuring that data related requests are correctly validated, prioritized, and addressed. </div><div>You will be the first line of defense for data validation inquiries, joining customer calls, and driving internal clarity around public and proprietary data discrepancies. </div><div><br /></div><div><b>Salary: $95-100K + Variable Quarterly Bonus</b></div><h3>What you will do:</h3><ul><li> Review and Triage Data Validation Tickets</li><li> Assess incoming data related tickets for completeness, clarity, and accuracy.</li><li> Join sales calls acting as a first line of defense to address data related concerns directly with clients.</li><li> Act as a subject matter expert to explain data nuances and prevent unnecessary escalations to the Data Science team.</li><li> Validate requests using internal tools and compare public data against proprietary (VGI/ST) sources.</li><li> Collaborate with the ST/VGI team to surface differences between public and internal data sets.</li><li> Flag and redirect any non actionable or duplicate requests.</li><li> Prioritize and Coordinate Workflows for Sales and Data Science teams</li><li> Develop and maintain a ticket prioritization framework to help the Data Science team focus on high impact issues.</li><li> Support cross functional initiatives between the Sales, Product, and Data Science teams.</li><li> Provide feedback and insights to improve internal data tools and customer experience.</li></ul><h3>Qualifications and Skill:</h3><ul><li>A bachelor’s degree in a quantitative, analytical, or business-related field</li><li>Analytical skills and high attention to detail</li><li>Proficiency with pivot tables, lookups, basic formulas </li><li>Familiarity with SQL for data querying and validation </li><li>Excellent communication and interpersonal skills, especially in cross functional settings</li><li>Comfortable working with sales teams and customers to explain data insights and managing multiple tasks in possible time sensitive situations</li><li>Ability to research and synthesize market trends, competitor data, and industry benchmarks</li><li>Experience in reviewing and interpreting public financial statements</li></ul>

Sensor Tower

Data Solutions Analyst

Sensor Tower

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