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Customer Success Analyst – Data-as-a-Service – Daas – & Geospatial Data
| Company | dataplor |
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| Location | New York, NY, USA |
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| Salary | $115000 – $155000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 3–5 years of experience in a data analyst, solutions engineer, or customer-facing analytics role
- Self-starter with experience in a fast-paced startup environment
- Advanced proficiency in SQL; bonus points for Python or experience with BI tools
- Strong critical thinking skills with a bias toward clarity and simplicity
- Excellent communication skills — especially when explaining technical concepts to non-technical audiences
- Comfortable co-presenting data findings to clients and fielding live questions
- Experience working with Customer Success, Product, or GTM teams in a SaaS or data-focused environment
Responsibilities
- Analyze trends and patterns within dataplor’s datasets to support client inquiries, business reviews, and ongoing account success.
- Respond to ad hoc data-related questions from customers and internal stakeholders with timely, clear, and accurate analysis.
- Investigate and resolve data issues flagged by customers, acting as a liaison with Product and Data teams, identifying root causes, and partnering with Product, Engineering, or Data Operations to resolve them.
- Prepare custom analyses or visualizations to help clients understand data coverage, quality, and value.
- Co-present with Customer Success Managers as needed for QBRs, onboarding, and technical syncs
- Translate complex data concepts into clear, actionable insights for non-technical stakeholders
- Be the subject matter expert on our data — its structure, strengths, and how to extract value from it.
- Document common data inquiries and develop scalable responses or visualizations to reduce repetition and improve consistency.
- Collaborate with Product, Engineering, and Ops to surface customer feedback, edge cases, and areas for improvement in our data.
- Build and maintain internal tools and reporting assets to help Customer Success respond more efficiently to data-related questions.
Preferred Qualifications
- Extensive experience selling location data, point of interest data, or mobility data
