Senior Manager - Analytics

Responsibilities : - Implement end to end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation, database modeling, visualization and deployment. - Design and deliver strategic Analytics projects sourcing and integrating data from the relevant data sources to meet the needs of a highly dynamic and data driven commercial business. - Build or enable intuitive and insightful dashboards, reports and data visualization to communicate key brand performance to stakeholders and implement real-time decision support tools that provide field representatives with insights and recommendations during interactions with physicians. - Dive deep to investigate and resolve potential Data quality issues Recommend and implement permanent solutions to mitigate data quality issues. - Partner with other domain leaders to infuse operational insights into the decision-making process for clinical, operational, financial, growth, and other focus areas. - Partner with US Analytics platform team to ensure compliance with best practices to ensure quality, accuracy and efficiency of data curation pipelines and gain alignment on using the relevant foundational data assets to power operational analytics. - Collaborate with our Data science, performance insights and brand facing Insights & Strategy teams to build analytics solutions for specialized Global markets and commercial business units. - Partner with enterprise Digital Engineering team to identify and source data from centralized data warehouses. - Actively contribute to Analytics team and project documentation and playbooks. - Serve as a SME in analytics development, providing guidance, training and mentorship to junior team members and fostering a culture of learning and innovation. Qualifications : - Bachelor's degree in a technical area such as Computer Science, Engineering, IT, or related Health Sciences field. - 7 years of combined Analytics Data engineering, Data analysis, business intelligence or analytics development experience Technical Skillset : - Extensive experience in SQL, data manipulation and Business Intelligence tooling and pipeline development. - Extensive hands-on experience with RDBMS/DWs and writing ETL pipelines. - Experience with Snowflake and/or Airflow is desirable but not necessary. - Programming ability in Python, Java or other object-oriented programming languages preferred. - Solid understanding of Agile, SDCL, CI/CD, is preferred. (ref:hirist.tech)

Location: navi-mumbai, IN

Posted Date: 10/9/2024