eTeam
Role: Data Analyst / Developer - Ipsen NACC
Location: Boston, MA
Duration: 03 Months
JOB DESCRIPTION:
Roles and Responsibilities: • Defines and creates data specifications for reports and analysis based on business requirements, evaluating available and new data elements. • Supports inquiry resolution, data validation, and trend analysis. • Investigates problems, identifies root causes, and provides detailed findings. • Produces datasets and reports by manipulating unstructured data from internal/external marketing and media channels. • Identifies and addresses data-related issues by understanding underlying processes. • Communicates findings clearly to clients and internal teams. • Conducts quantitative/qualitative analyses to develop commercial data solutions for pharmaceutical clients. • Identifies trends and patterns in datasets to enhance commercial data quality operations. • Assists with client inquiries and internal projects, summarizing data to identify trends and resolve issues. • Performs data quality analysis, ensuring accuracy, completeness, and compliance with established procedures.
Education/Qualifications: • 5+ years of experience in pharmaceutical commercial data operations, sales operations, or incentive compensation (added value). • Proficiency in SQL, Python, PPT, Excel, any knowledge of Tableau (or similar BI tools). • Strong knowledge of patient-level data integrations, Longitudial patient level claims data, specialty pharmacy and hub, and specialty distributor datasets and Syndicated data from Iqvia, Symphony, Komodo health data. • Understanding of daa usage by pharma brand analytics and key commercial analytics techniques. • Bachelor's or Master's degree in Business, Data Science, Engineering, Statistics, or a related field. •
BI solutions,Microsoft Excel,Microsoft PowerPoint,Project management methodology,Python,SQL,Tableau,account management,account manager,business analytics,business intelligence,business requirements,computer science,dashboarding solutions,data analysis,data element,data integration,data management,data processing,data quality,data querying,data science,data validation,dataops,engineering,information technology,management,mathematics,metadata management,office automation,operational management,performance assessment,performance management,presentation software,productivity software,programming,project management,report analysis,reporting,sales,science & research,software development,software engineering,spreadsheets,statistics,technology,trade,trend analysis,unstructured data
JOB DESCRIPTION:
Roles and Responsibilities: • Defines and creates data specifications for reports and analysis based on business requirements, evaluating available and new data elements. • Supports inquiry resolution, data validation, and trend analysis. • Investigates problems, identifies root causes, and provides detailed findings. • Produces datasets and reports by manipulating unstructured data from internal/external marketing and media channels. • Identifies and addresses data-related issues by understanding underlying processes. • Communicates findings clearly to clients and internal teams. • Conducts quantitative/qualitative analyses to develop commercial data solutions for pharmaceutical clients. • Identifies trends and patterns in datasets to enhance commercial data quality operations. • Assists with client inquiries and internal projects, summarizing data to identify trends and resolve issues. • Performs data quality analysis, ensuring accuracy, completeness, and compliance with established procedures.
Education/Qualifications: • 5+ years of experience in pharmaceutical commercial data operations, sales operations, or incentive compensation (added value). • Proficiency in SQL, Python, PPT, Excel, any knowledge of Tableau (or similar BI tools). • Strong knowledge of patient-level data integrations, Longitudial patient level claims data, specialty pharmacy and hub, and specialty distributor datasets and Syndicated data from Iqvia, Symphony, Komodo health data. • Understanding of daa usage by pharma brand analytics and key commercial analytics techniques. • Bachelor's or Master's degree in Business, Data Science, Engineering, Statistics, or a related field. •
BI solutions,Microsoft Excel,Microsoft PowerPoint,Project management methodology,Python,SQL,Tableau,account management,account manager,business analytics,business intelligence,business requirements,computer science,dashboarding solutions,data analysis,data element,data integration,data management,data processing,data quality,data querying,data science,data validation,dataops,engineering,information technology,management,mathematics,metadata management,office automation,operational management,performance assessment,performance management,presentation software,productivity software,programming,project management,report analysis,reporting,sales,science & research,software development,software engineering,spreadsheets,statistics,technology,trade,trend analysis,unstructured data