analyze, and disseminate significant amounts of information with attention
to detail and accuracy. Desirable software engineering skills, including working with Git
source control, CI/CD. Experience with SQL databases and T-SQL. Knowledge of programming languages such as T-SQL and Python is
desirable. Experience with Azure Data Factory v2/Azure Synapse Analytics is
desirable. Familiarity with data integration tools, ETL/ELT processes, and data
formatting. Experience with data/reporting from MS Dynamics 365 F&O. Experience in the pharmaceuticals industry and familiarity with
pharmaceutical data such as IQVIA data and Salesforce. Strong written and verbal communication skills, including technical
writing. Degree in Computer Science, IT, or a related field; a master’s
degree is a plus. Certifications in data engineering/BI development are advantageous. Salesforce/IQVIA OCE/Veeva qualifications are a big plus. About the role: Develop appropriate reporting solutions using tools like Power BI
and Excel Pivot to meet business needs. Interpret data, analyze results using statistical techniques, and
provide ongoing reports. Develop and implement databases, data collection systems, and data
analytics to optimize reporting efficiency and quality. Acquire data from primary or secondary sources and maintain
databases/data systems. Conduct unit testing and troubleshoot bugs to maintain data
integrity. Develop and execute database queries and conduct analyses. Design, build, and deploy data pipelines; maintain and support these
pipelines. Create strategic dashboards and assist in BI and data strategy. Provide technical end-user training for dashboards, reports, and
datasets. Implement an effective reporting delivery model to ensure clear
processes for requesting new reports and utilizing existing reporting
assets. Work with management to prioritize business and information needs. Identify and define new process improvement opportunities. Participate in technical data architecture discussions and decisions. How to Apply: If you are a data enthusiast with a passion for turning data into actionable insights, we would love to hear from you. Please submit your CV and a cover letter outlining your relevant experience and qualifications.
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