Collaborate with Digital to enhance data access, develop tools and improve quality and productivity
Support delivery of projects in terms of resourcing, coordination, quality, timeliness, and technical standards
Contribute to overall quality enhancement and secure adherence to compliance procedures and operational risk controls
Use latest tools/technologies/methodologies and partner with internal teams to improve data quality and availability
Work closely with global teams and external vendors to ensure end-to-end project delivery and prioritize time-sensitive requests
Requirements
5+ years relevant work experience
Solid understanding of principles, standards, and best practices of Dashboard development, Reporting, Insight Generation and story telling
In-depth knowledge of Rare disease and databases like IQVIA, APLD, LAAD, Speciality Pharma and Distributor, Claims data
Experience working on patient analytics report and dataset such as LAAD and data from Speciality distributor, Speciality Pharma, and patient hub
Proficiency of programming languages SQL, SAS mandatory; Python, R, VB good to have
Working experience of analytical tools: Power BI, Qliksense, Tableau, Alteryx, PowerBI etc
Strong experience using analytical platforms (e.g., Databricks, IICS, Snowflake)
Experience with pharmaceutical data sources and CRM data systems (e.g. IQVIA, Symphony, Claims data, LAAD, Speciality Pharmacy and Distributor data)
Expert in Relational database technologies and concepts
Advanced Excel including VBA, PowerPoint, Smartsheet
Strong project management abilities; capable of prioritizing and handling multiple projects simultaneously
Excellent planning, design, project management and documentation skills
Strong presentation and communication skills
Ability to work cross-functionally, gather requirements, analyse data, and generate insights
Ability to operate effectively in an international matrix environment and work across time zones
Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques
Bachelor’s or Master’s degree in Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/Business Analytics or related field (PhD / MBA / Masters); Excellent knowledge in English
Benefits
Permanent and Full time role
Dynamic and inclusive workplace operating on trust and respect
Opportunities for career growth and professional development
Diversity, Equity and Inclusion actions and equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity
Ability to work across time zones and international matrix environment
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.