Healthcare Data Analyst creating and analyzing reports to support operations at CGS Administrators, delivering accurate data to aid financial and operational decisions. Join a collaborative team focused on Medicare beneficiaries and healthcare providers.
About the role
- Data Analyst responsible for collecting and interpreting data for actionable business insights. Collaborating with teams to optimize processes through data analysis in a hybrid work environment.
Responsibilities
- Collect and integrate data from various sources, including databases, CSV files, APIs, etc.
- Clean and preprocess data to ensure quality, consistency and integrity.
- Perform exploratory data analysis to identify patterns, trends and relevant correlations.
- Develop analytical models and algorithms for forecasting, customer segmentation, churn analysis, and other use cases.
- Create clear and informative data visualizations using tools such as Looker Studio.
- Interpret analytical results and effectively communicate insights to both technical and non-technical stakeholders.
- Collaborate with other functional teams to identify opportunities for optimization and improvements based on data.
- Stay up to date with emerging trends and technologies in data analysis and data science.
Requirements
- Database query languages: Proficiency in SQL to extract, manipulate and analyze data from relational databases.
- Programming: Skills in languages such as Python, R or Java for data analysis, large-scale data manipulation and process automation.
- Data visualization tools: Experience with visualization tools such as Looker Studio, Pentaho, Tableau, Power BI, Matplotlib, Seaborn, etc., to create clear and informative visuals.
- Exploratory Data Analysis (EDA): Ability to perform EDA using statistical and visualization techniques to understand data structure, patterns and relationships.
- Data manipulation: Proficiency with libraries and tools for data manipulation, such as pandas in Python or dplyr in R.
- Data modeling: Knowledge of data modeling to design efficient database schemas and develop predictive models.
- Machine learning and AI: Understanding of machine learning and artificial intelligence concepts and techniques to build predictive and analytical models.
- Big Data and large-scale processing tools: Familiarity with technologies such as Hadoop, Spark, or cloud computing tools to handle large data volumes.
- Knowledge of MySQL/SQL Server and MongoDB databases, ETL creation, data lakes, data manipulation; proficiency with data architecture/middleware tools such as Pentaho and Apache Hop; experience building dashboards in Looker Studio (Data Vys) and managing tasks via ClickUp.
Benefits
- Health and dental plan (upon enrollment)
- Life insurance
- Psychological support (employee counseling)
- Birthday day off
- O Povo+ subscription club
- School allowance for up to 3 children (available after 6 months of employment)
- Discount on materials published by the company.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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