Customer Success Data Analyst

About the Role

This opportunity involves collaborating with a partner organization to fill the position of Customer Success Data Analyst in the United States. The role focuses on facilitating scientists in converting intricate biological datasets into actionable insights, thereby accelerating scientific discoveries.

The position serves as a bridge between sophisticated data analytics and customer satisfaction by ensuring complex data is delivered accurately, promptly, and effectively. The successful candidate operates at the intersection of science, technology, and client relations, enabling research stakeholders to make well-informed decisions through high-quality data visualizations and analysis.

This role demands technical proficiency, excellent communication, and analytical problem-solving skills within a team-oriented and innovation-focused environment. The individual will enhance customer interactions while supporting cutting-edge biological data interpretation techniques.

Key Responsibilities

• Deliver customer-related data with accuracy and timeliness, adhering to data generation and quality assurance protocols.
• Complete data reports for clients and generate clear, insightful visualizations that aid scientific decision-making.
• Create and sustain standardized reporting processes for various customer projects.
• Support customer onboarding, provide ongoing help with the data platform, and address troubleshooting and general questions.
• Function as a principal client contact by understanding research objectives, collecting feedback, and ensuring project success.
• Convert client feedback into actionable suggestions for product enhancement, new analytical capabilities, and platform improvements.
• Participate in user testing of data tools to uncover issues and recommend refinements.
• Work collaboratively with data, product, and development teams to resolve issues and enhance analytic workflows.
• Design tailored data analysis pipelines to support internal quality assurance, research collaborations, and unique client needs.
• Effectively manage multiple client projects, ensuring consistency, accuracy, and timely delivery.
• Engage in continuous improvement activities that elevate customer experience and analytical functionality.

Qualifications and Experience

• Master’s degree in Life Sciences emphasizing data analysis and interpretation, or a related field.
• At least two years of experience in data analysis programming, with a preference for Python skills.
• Knowledge or experience in bioinformatics, computational biology, or data science is advantageous.
• Strong grasp of statistical analysis techniques, including methods like principal component analysis (PCA).
• Minimum of one year working in customer-facing or service-related roles.
• Experience supporting technical clients or collaborating with technical customer teams is a plus.
• Excellent written and oral communication skills to convey complex information clearly.
• Ability to collaborate effectively with cross-functional and diverse teams.
• Strong organizational proficiency to prioritize, handle competing deadlines, and independently deliver quality results.
• A proactive attitude toward identifying improvement opportunities and driving projects to completion.
• Comfort working in a fast-changing environment with shifting priorities.

Benefits and Work Environment

• Competitive full-time salary package commensurate with experience, skills, and geographic location.
• Fully remote position available for candidates in the United States or Canada, favoring those in the Eastern Time Zone.
• Flexible work culture with potential for up to 25% occasional on-site participation.
• Engagement with innovative scientific research and advanced biological data solutions.
• Collaborative teams comprised of scientists, engineers, data professionals, and problem solvers.
• Opportunities for professional development through exposure to frontier technology, scientific applications, and client projects.
• Direct impact on how researchers leverage data to accelerate discovery processes.
• Supportive culture valuing innovation, learning, and continuous growth.

Additional Information

This recruitment is managed by a partner, who handles applications and subsequent selection steps. An AI-based matching system is employed to evaluate candidates objectively, with shortlisted applicants forwarded to the hiring company for final decisions and next steps including interviews and assessments.

Applicants should note that personal data submission authorizes processing under applicable data protection laws, with transparency regarding AI use in hiring support processes.