The core responsibilities for the job include the following :
Product Ownership and Stakeholder Engagement :
- Serve as the primary point of contact for business stakeholders for all data-related initiatives.
- Translate business objectives into clear functional and technical requirements.
- Drive product vision and roadmap aligned with business goals.
- Collaborate with architecture, engineering, and business teams to ensure successful delivery.
- Take accountability for end-to-end product delivery, including UAT sign-off.
Data Analysis and Insights :
Convert complex data into actionable insights and compelling visualizations using BI tools.Work closely with stakeholders to design relevant metrics that support business decisions.Design report prototypes and enhance data visualizations for improved Design and Execution :Design and document data flows, system architecture, and data structures.Define business rules for data accuracy and ensure data quality.Guide the data engineering team in implementing accurate and efficient data pipelines.Potentially write SQL scripts to extract and manipulate data as needed.Testing and Integration :
Coordinate cross-functional, cross-regional integration and end-to-end testing.Ensure data accuracy, consistency, and completeness across systems.Approve solutions before release to User Acceptance Testing and Communication :Present findings and proposals clearly to leadership and stakeholders.Mentor junior team members and lead collaboration across business and IT.Facilitate and participate in Agile ceremonies and sprint :Key Skills : AWS, Power BI, SQL, Product Owner, Data Analyst, Business Analyst, Data Analysis, Data Analytics, Business Analysis.Minimum 7 years' experience in product ownership, data analytics, or business analysis.Proven experience working with cloud platforms (AWS preferred) and data ecosystems.Proficiency in Power BI, SQL, and data visualization best practices.Experience with system architecture, data pipelines, and large-scale data analysis.Strong understanding of Agile / Scrum methodology and SDLC.Excellent communication, stakeholder management, and problem-solving skills.Preferred Qualifications :
Experience with Python and Snowflake.Background in Digital Health or similar data-intensive industries.Experience working on enterprise-level or global data analytics programs.Education : Bachelor's Degree / Master's Degree in related field.ref : hirist.tech)