Customer Success Data Analyst
New
J
JobgetherLife Sciences
Candidates located in the United States or Canada, Eastern Time Zone preferredFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- Minimum of two years of experience in data analysis programming; at least one year of experience in a customer-facing or service-oriented role.
- Required Skills
- Project ManagementPythonData AnalysisData science
Requirements
- 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.
- At least one year of experience in a customer-facing or service-oriented role.
- Strong understanding of statistical data analysis methods, including foundational techniques such as principal component analysis (PCA).
- 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.
- Experience with bioinformatics, data science, or computational biology is considered an advantage.
- Experience supporting technical customers or working with customer technical teams is a plus.
Responsibilities
- 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.
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