The Data Solutions Analyst acts as a bridge between Sales, Data Science, and Product teams, addressing data validation inquiries and ensuring accuracy in data-related requests.
Data Solutions Analyst
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.
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.
Salary: $95-100K + Variable Quarterly Bonus
What you will do:
- 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.
Qualifications and Skill:
- 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*
Top Skills
SQL
Sensor Tower New York, New York, USA Office
33 Irving Pl, 9th Floor, Suite 9031, New York, NY, United States, 10003
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