As a Data Analyst, you are required to:
Acquire data from primary or secondary data sources and maintain databases/data systems
Operate and optimize pre-defined tools, applications and data bases/data management systems
Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way
Apply analytics tools, models to derive insights from the data.
Create reports and communicate results to various internal and/or external stakeholders (e.g. management, customers)
Regularly scan the Data Analytics landscape to stay up to date with latest technologies, techniques, tools and methods in this field
Qualification: Bachelors or Masters in Computer Science & Engineering. Additional course(s) on data analytics topics is preferred.
Experience level: Minimum 8 years in software development with at least 3 years hands-on experience in the area of Data analytics.
Desired Knowledge & Experience:
Data analytics, data preprocessing, modeling, data visualization, data synthesis, simulation.
Working with data from different sources for example, machine Logs, Patient records.
oLanguage: Python, PySpark.
oLibraries: Pandas, NumPy, SciPy,
Experience in developing Machine Learning solutions using
oData bricks environment
oSAS - Visual Analytics; SAS - Visual Data Mining, Machine Learning
oExperience in NLP.
Experience in creating dashboards, visualizations.
Knowledge & experience in Healthcare domain, is preferred