Product Analyst

Roles & Responsibilities:

• Collaborate with product managers, scientists, clinicians, and commercial teams to gather, document, and analyze product requirements across the drug development, diagnostics, or digital health space.
• Perform market, user, and competitor analysis to identify trends, unmet needs, and opportunities within the Life Sciences industry.
• Translate complex scientific and business data into actionable insights, informing product strategy, feature development, and prioritization.
• Track and analyze product usage metrics, KPIs, and feedback loops, using tools like Power BI, Tableau, or similar to visualize performance.
• Support clinical and R&D product initiatives by analyzing scientific datasets, publications, trial outcomes, and real-world evidence (RWE).
• Work closely with engineering and UX teams to ensure product requirements are translated effectively into user-centric solutions.
• Drive data-informed decision-making, enabling faster and more confident product development across regulatory, commercial, and clinical landscapes.
• Develop and maintain product dashboards, reports, and presentations for internal collaborators and executive teams.
• Act as a liaison between scientific users, business leads, and technical teams, ensuring all perspectives are reflected in the product roadmap.
• Contribute to go-to-market planning, including product positioning, value proposition definition, and messaging based on analytical findings.

What we expect of you

Basic Qualifications:

• Master s degree and 3 to 4 + years of Computer Science, IT or related field experience Or
• Bachelor s degree and 5 to 8 + years of Computer Science, IT or related field experience
• Diploma and 7 to 9 years of Computer Science, IT or related field experience

Must-Have Skills:

• 3-6 years of experience as a Product Analyst, Business Analyst, or Data Analyst in the Life Sciences, Biotech, or Healthcare domain.
• Strong understanding of drug development processes, clinical research, or medical device product lifecycles.
• Ability to work with and interpret scientific and clinical datasets, publications, regulatory documentation, and product usage data.
• Excellent analytical, problem-solving, and communication skills, with the ability to present complex insights clearly to non-technical collaborators.
• Familiarity with Agile product development, JIRA, Confluence, and product lifecycle management (PLM) tools.
• Strong business acumen and the ability to connect scientific capabilities with commercial strategy and user needs.
• Ability to learn quickly, be organized and detail oriented.

Preferred Qualifications:

• Educational background in Life Sciences, Biotechnology, Biomedical Engineering, Health Informatics, or related field.
• Prior experience supporting products in clinical trials, lab systems, digital health, or commercial pharma platforms.
• Familiarity with regulatory environments (e. g. , FDA, EMA, GxP) and compliance standards in the life sciences space.
• Knowledge of real-world evidence (RWE), electronic health records (EHR), or patient-reported outcomes (PROs).
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred
• Scaled Agile SAFe certification preferred

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Ability to learn quickly, be organized and detail oriented.
• Strong presentation and public speaking skills.