Customer Success Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Customer Success Data Analyst based in Canada.

This role offers the opportunity to help scientists transform complex biological data into meaningful insights that support groundbreaking discoveries. The successful candidate will bridge the gap between advanced data analysis and customer success by ensuring accurate, timely, and impactful data delivery. Working at the intersection of science, technology, and customer experience, this position will support researchers in making informed decisions through high-quality visualizations and analyses. The role combines technical expertise, communication skills, and problem-solving abilities in a collaborative, innovation-driven environment. The ideal candidate will contribute to improving customer experiences while helping advance next-generation approaches to understanding biology. This is an exciting opportunity for a data-focused professional who enjoys working with customers, scientific teams, and evolving data platforms.

Accountabilities:: The Customer Success Data Analyst will be responsible for delivering high-quality data solutions, supporting customers throughout their journey, and collaborating with internal teams to continuously improve analytical tools and processes. This role requires a combination of technical expertise, customer focus, and strong project management skills.

Ensure accurate and timely delivery of customer data following data generation and quality control processes.

Finalize customer data reports and create clear, insightful visualizations to support scientific decision-making.

Develop and maintain standard reporting workflows for customer projects.

Support customer onboarding and provide ongoing assistance with data platform usage, troubleshooting, and general inquiries.

Act as a key customer contact by understanding research needs, gathering feedback, and ensuring successful project outcomes.

Translate customer insights into recommendations for product improvements, new analysis capabilities, and platform enhancements.

Serve as a user tester for data tools and platforms, identifying bugs and suggesting improvements.

Collaborate with data, product, and development teams to troubleshoot issues and optimize analytical workflows.

Build customized data analysis pipelines for internal improvements, quality assurance, research collaborations, and unique customer requests.

Manage multiple customer projects simultaneously while maintaining quality, accuracy, and delivery timelines.

Contribute to continuous improvement initiatives that enhance customer experience and analytical capabilities.

Requirements:

The ideal candidate is a scientifically minded data professional with experience in analytics, customer-facing environments, and biological data interpretation. They should be comfortable working across technical and customer-focused teams while managing multiple priorities in a fast-paced environment.

Master’s degree in Life Sciences with a focus on data interpretation and analysis, or a related field.

Minimum of two years of experience in data analysis programming, preferably using Python.

Experience with bioinformatics, data science, or computational biology is considered an advantage.

Strong understanding of statistical data analysis methods, including foundational techniques such as principal component analysis (PCA).

At least one year of experience in a customer-facing or service-oriented role.

Experience supporting technical customers or working with customer technical teams is a plus.

Strong written and verbal communication skills with the ability to explain complex information clearly.

Ability to collaborate effectively within diverse, cross-functional teams.

Strong organizational skills with the ability to prioritize tasks, manage competing deadlines, and deliver high-quality results independently.

Proactive mindset with the ability to identify opportunities, propose solutions, and drive initiatives to completion.

Comfortable working in a dynamic environment with evolving priorities and responsibilities.

Benefits:

Competitive full-time compensation package based on experience, skills, and location.

Fully remote work opportunity for candidates located in the United States or Canada, with preference for Eastern Time Zone availability.

Flexible work environment with opportunities for occasional onsite collaboration (up to 25% as required).

Opportunity to contribute to innovative scientific research and advanced biological data solutions.

Collaborative workplace environment with scientists, engineers, data professionals, and problem-solvers.

Professional growth opportunities through exposure to cutting-edge technologies, scientific applications, and customer projects.

Opportunity to directly impact how researchers use data to accelerate discoveries.

Supportive team culture focused on innovation, learning, and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1