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Healthcare Analyst

This role is for a Healthcare Analyst (Business Data) in Boston, MA, lasting 9+ months, with a pay rate of "unknown." Requires 4-6 years of experience in data analysis and proficiency in AWS services, ETL tools, and reporting tools like Tableau and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 6, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Boston, MA
🧠 - Skills detailed
#Databases #Data Analysis #BI (Business Intelligence) #Data Science #SageMaker #Tableau #Redshift #Informatica #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Strategy #ML (Machine Learning) #Automation #AI (Artificial Intelligence) #EC2 #SNS (Simple Notification Service) #S3 (Amazon Simple Storage Service) #IAM (Identity and Access Management) #DynamoDB #Cloud #Athena #AWS (Amazon Web Services) #Documentation #AWS SageMaker #Terraform
Role description
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Healthcare Analyst - Business Data

Duration: 9+ Months

Location – Boston, MA – Need Locals

Business Data Analyst

The Business Data Analyst will be responsible for providing data-driven insights, recommending new data sources, and offering guidance on self-service and documentation support. This role involves working closely with Therapeutic Areas (Oncology, Rare Diseases, Neuroscience) and Key Commercial Functions (Field Sales, Sales Operations, Brand Marketing, Patient Services, Medical Affairs, Value & Access) to deliver actionable insights. Key responsibilities include defining data and BI/Analytics strategy, designing data models. Proficiency with the following is desired:

-- AWS Services: Proficiency in AWS services such as EC2, S3, IAM, CloudFront, SNS, and CloudWatch

-- Automation Tools: Experience with automation tools like Terraform and Circle CI

-- ETL Tools: Knowledge of ETL tools such as Glue and Informatica

-- Databases: Familiarity with databases like Redshift, Postgres, Athena, and DynamoDB

-- AI/ML Tools: Proficiency in AI/ML tools like AWS SageMaker

-- Reporting Tools: Experience with reporting tools such as Tableau and Power BI

-- Data Analyst-Four to Six Years,

-- Data Science & Analytics Tools-Four to Six Years (preferred)