Customer Success Analyst – Data-as-a-Service (DaaS) & Geospatial Data

About Us

Our mission at dataplor is to comprehensively map and understand every commercial location on the planet. We provide insights on every merchant in the world, covering 350M+ businesses and places, empowering organizations with high-quality location intelligence to drive strategic decision-making. We are excited to grow the team and take this rocketship to the next level!

Role Overview

We’re looking for a data-driven problem solver who thrives at the intersection of analysis and client impact. As a Customer Success Analyst, you’ll be the go-to analytics expert supporting the Customer Success and broader Revenue teams — using data to inform strategy, answer client questions to drive data usage, and triage customer support inquiries. This role is equal parts technical and consultative. You’ll dive deep into customer usage trends, troubleshoot complex data questions, and co-present insights directly to customers. Your mission: to build trust through clarity, power our success team with intelligence, and make our customers feel like data rockstars.

• Data Analysis & Insights
• 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.
• Customer Collaboration
• 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.
• Comfortable interfacing 1:1 with Enterprise-level clients, including excellent verbal and written communications.
• Internal Enablement
• 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.

• 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

• Extensive experience selling location data, point of interest data, or mobility data

• Competitive salary and benefits package
• Comprehensive health, dental, and vision insurance
• Unlimited PTO and paid holidays
• Monthly Uber Eats Credit
• Industrious or similar co-working membership
• Semi annual team retreats and ad hoc meetups
• A collaborative and supportive work environment
• The expected salary range for this role is $115,000 to $155,000.