
Lead Product Analyst
- Pune, Maharashtra
- Permanent
- Full-time
- Act as a liaison between product managers, engineers, designers, marketing, and other stakeholders.
- Present regular project updates, manage expectations, and address concerns proactively.
- Identify and resolve potential risks that could impact project deliverables.
- Cultivate a collaborative and high-performing team environment.
- Facilitate inter-team collaboration and resolve conflicts effectively.
- Delegate tasks strategically, leveraging team members’ strengths and expertise.
- Ensure adherence to quality standards throughout the development lifecycle.
- Conduct regular quality reviews and implement corrective actions as needed.
- Track key product metrics such as timelines, scope, and CapEx.
- Generate reports and insights for stakeholders to support data-driven decisions.
- Analyze project data to identify improvement opportunities.
- Define project scope, timelines, milestones, and dependencies in collaboration with stakeholders.
- Break down complex projects into manageable components and assign ownership.
- Apply Agile methodologies (Scrum, Kanban) to manage workflows and facilitate regular updates.
- Monitor progress and implement risk mitigation strategies in coordination with Product Owners and Managers.
- Bachelor’s degree.
- 8+ years of experience
- Proven experience in product ownership or analysis, preferably in a product development environment within the US Healthcare domain.
- Strong analytical and research capabilities.
- Excellent organizational skills with the ability to manage multiple priorities.
- Effective communicator with strong interpersonal skills.
- Deep understanding of Agile methodologies (Scrum, Kanban).
- Proficiency in tools such as Jira, Confluence, Miro.
- Technical understanding of software development processes is a plus.
- Experience with Data and EDI solutions is advantageous.
- Degree in a technical or related field.
- Familiarity with healthcare data formats (e.g., eligibility, claims, configuration, authorizations, clinical data).
- Experience with SQL, Python, or statistical software.
- Ability to write clear and concise product documentation (e.g., release notes, user guides).