RxCloud is Hiring a Data Analyst with Life Science Experience Near South San Francisco, CA
About the job Data Analyst with Life Science Experience
Data Analyst Job Description The Data Analyst will serve as a data developer resource and should have knowledge of data analysis tools, data profiling techniques, and computer systems technology. The ideal candidate will have experience collecting user requirements, data analysis, documenting technical specifications, understanding core data characteristics, The ability to understand complex problems, logical problem-solving skills, and strong written and verbal communication skills are required. A strong understanding of database methodology, data analysis, and reporting technologies are required. Data Analyst Duties & Responsibilities
Data Analysts have at least 6 years of experience in Pharma Commercial Data, Sales, and Claims data knowledge
Effective communication & Stakeholder management
Excel & basic SQL knowledge
Must have experience in data visualization
Must have experience in data IQ.
Have good knowledge of Data Analysing Tools- Tableau, Power BI
•Map data source attributes to target system attributes
Research data requests to determine availability, sourcing, and fulfilment options
Perform root cause analysis on data quality issues
Monitor the state of data quality within their scope of responsibility
•Maintain data to meet company standards
Data includes images, technical specifications, and other data elements
Communicate with providers and manufacturers to ensure complete product data is supplied
Provide customer service support for both external and internal customers
Data Analyst Requirements & Skills
Bachelors degree or equivalent certifications/experience required
Advanced knowledge of structured data, such as entities, classes, hierarchies, relationships, and metadata
Knowledge of database management system (DBMS) including tables, joins, and SQL querying
Ability to combine data from multiple sources when needed for analysis
Familiarity with and ability to document the use cases, business purposes, and quality of the data
Familiar with reporting technology and method of reporting different type of data