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

📌 Core Information

🔹 Job Title: Customer Success Analyst – Data-as-a-Service (DaaS) & Geospatial Data

🔹 Company: dataplor

🔹 Location: New City, New York, United States

🔹 Job Type: On-site

🔹 Category: 📊 Marketing Analyst, 📞 Customer Service, 🎧 Customer Experience (CX)

🔹 Date Posted: March 31, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: Remote OK

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Support the Customer Success and Revenue teams through data analytics.
• Engage in technical and consultative analyses to drive customer satisfaction.
• Collaborate with customers to present insights and resolve data inquiries.
• Build credibility by transforming complex data into understandable insights.

ASSUMPTION: The job overview suggests a dual focus on technical problem solving and customer interaction, implying a need for balanced skills in analytics and client engagement.

📋 Key Responsibilities

✅ Analyze trends and patterns within datasets to assist client inquiries and business reviews.

✅ Respond to customer and internal stakeholder data-related questions.

✅ Investigate and resolve data issues, coordinating with Product, Engineering, or Data Operations teams.

✅ Prepare custom analyses or visualizations to demonstrate data coverage and value.

✅ Co-present insights at QBRs, onboarding sessions, and technical syncs.

✅ Translate complex data into actionable insights for non-technical stakeholders.

✅ Document common inquiries and develop scalable responses to improve consistency.

✅ Build and maintain tools and assets for internal efficiency in data-related responses.

ASSUMPTION: Responsibilities indicate focus on enhancing customer understanding of data products and internal process optimization for data issues.

🎯 Required Qualifications

Education: Not specified

Experience: 3–5 years in data analysis, solutions engineering, or customer-facing analytics roles

Required Skills:

• Advanced proficiency in SQL
• Strong critical thinking skills for clarity and simplicity
• Excellent communication skills, particularly in translating technical concepts

Preferred Skills:

• Experience with Python or BI tools
• Experience selling location, point of interest, or mobility data

ASSUMPTION: The position emphasizes technical expertise in SQL and data presentation skills, assuming that educational specifics are less critical.

💰 Compensation & Benefits

Salary Range: $115,000 to $155,000 per year

Benefits:

• Comprehensive health, dental, and vision insurance
• Unlimited PTO and paid holidays
• Monthly Uber Eats credit and co-working membership
• Semi-annual team retreats and a collaborative work environment

Working Hours: 40 hours per week

ASSUMPTION: The benefits package and salary range suggest a commitment to competitive compensation and employee wellbeing.

📌 Applicant Insights

🔍 Company Context

Industry: Technology, Information and Internet, specializing in location intelligence and big data

Company Size: 70 employees, indicating a small to medium-sized enterprise ideal for agile work environments

Founded: 2017

Company Description:

• Leads in providing accurate, reliable, and dynamic Point-of-Interest (POI) and mobility datasets.
• Works globally, offering extensive coverage with over 350M POI points.
• Facilitates growth for Fortune 500 companies through superior data solutions.

Company Specialties:

• Big Data and Machine Learning
• Geospatial intelligence and emerging markets
• Mobility data and visitation metrics

Company Website: https://www.dataplor.com

ASSUMPTION: With its global presence and focus on cutting-edge data solutions, dataplor seems ideal for candidates looking to engage in forward-thinking technology roles.

📊 Role Analysis

Career Level: Mid to senior level, given the requirement for significant analytical experience and client interaction

Reporting Structure: Likely reports to senior leadership in Customer Success or Data Analytics

Work Arrangement: Though on-site, the role includes flexibility with remote work options

Growth Opportunities:

• Potential to advance within Customer Success or Analytics teams
• Opportunities to develop cross-functional skills by collaborating with product and engineering teams
• Engage in high-visibility projects with enterprise clients

ASSUMPTION: Role analysis reflects growth potential within a dynamic and innovative company environment, appealing to candidates pursuing career development.

🌍 Location & Work Environment

Office Type: Modern co-working spaces providing collaborative environments

Office Location(s): 1200 N Federal Hwy, Boca Raton, Florida 33432, US

Geographic Context:

• Located in a bustling tech corridor with access to industry events
• Close proximity to major transportation hubs
• Potential for local and international business travel

Work Schedule: Standard business hours with possible flexibility depending on project needs

ASSUMPTION: The location is strategically positioned to maximize industry interaction, promising a vibrant work setting.

💼 Interview & Application Insights

Typical Process:

• Initial HR screening for cultural fit and qualifications assessment
• Technical interview focusing on SQL and analytics case scenarios
• Final interview with senior management for strategic alignment

Key Assessment Areas:

• Technical proficiency and problem-solving in data analytics
• Customer interaction skills, particularly with enterprise clients
• Ability to simplify and communicate complex data insights

Application Tips:

• Highlight SQL and data visualization expertise in applications
• Demonstrate previous success in improving customer data understanding
• Prepare to discuss how you have collaborated across teams on technical issues

ATS Keywords: Data Analysis, SQL, Customer Success, Problem Solving, Data Visualization

ASSUMPTION: The hiring process likely emphasizes technical competence and customer-facing abilities, indicating the importance of these areas in applications and interviews.

🛠️ Tools & Technologies

• SQL for data query and analysis
• Python for advanced data manipulation (preferred)
• Business Intelligence tools for data visualization

ASSUMPTION: The emphasis on SQL and visualization tools indicates the necessity for candidates to be proficient in technical data manipulation software.

👔 Cultural Fit Considerations

Company Values:

• Innovation in data solutions
• Commitment to accurate and reliable intelligence
• Customer-centric growth strategy

Work Style:

• Proactive and results-driven approach
• Collaborative team player with leadership potential
• Strong self-starter attitude in fast-paced settings

Self-Assessment Questions:

• Do I thrive in customer-facing roles within technical domains?
• Am I adept at translating technical data into clear insights?
• Can I handle multiple priorities in a dynamic startup environment?

ASSUMPTION: Candidates suited for this role likely enjoy hybrid roles combining technical analysis with customer engagement, aligning with the company's innovative and collaborative culture.

⚠️ Potential Challenges

• Balancing technical and consultative aspects of the role
• Navigating complex enterprise client relationships
• Managing a fast-paced and evolving product landscape
• Achieving clarity and simplicity in data communication under tight timelines

ASSUMPTION: Challenges may include managing dual role aspects and client expectations within high-stakes environments, requiring adaptability and strong problem-solving capabilities.

📈 Similar Roles Comparison

• Similar roles may focus purely on technical analysis without customer interaction emphasis.
• Unique blend of data analytics and customer success is less common in similar job categories.
• Higher visibility and impact on customer satisfaction and success compared to traditional analytics roles.

ASSUMPTION: The role's distinctive customer-interface aspect makes it unique in comparison to strictly analytical roles, blending technical and interpersonal skills.

📝 Sample Projects

• Analyzing and resolving customer-specific data quality issues with cross-functional teams
• Developing analytical frameworks to improve customer understanding of data services
• Presenting data insights and strategic recommendations during client meetings

ASSUMPTION: Projects are likely tailored to enhance customer satisfaction through strategic data insights and internal process improvements.

❓ Key Questions to Ask During Interview

• How does the company define success for this role?
• What are the biggest challenges currently facing the Customer Success team?
• How does this role contribute to the company's overall mission and goals?
• Can you describe the team I would be working with?
• What are the key performance metrics for this position?

ASSUMPTION: Questions should address role expectations, team dynamics, and alignment with company goals to ensure mutual fit.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Include a tailored resume highlighting relevant SQL and data analysis experience
• Prepare a cover letter detailing your experience in customer success roles
• Demonstrate familiarity with location intelligence and geospatial data
• Expect follow-up interviews focusing on technical and interpersonal skills

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.