Healthcare_ Data Analyst_Q2
Infosys Bengaluru East, Karnataka, India
Job Description
"Unlock the secrets of healthcare data analysis and take your career to new heights as a Healthcare Data Analyst at Infosys."
As a Healthcare Data Analyst at Infosys, you will be at the forefront of transforming the healthcare industry through data-driven insights. With the increasing demand for data analysis and interpretation in healthcare, this role offers a unique opportunity to make a meaningful impact.
In this role, you will work with various tools and technologies such as PL/SQL, SQL, data mapping, STTM creation, and data profiling to analyze and interpret complex healthcare data sets. Your primary goal will be to identify trends, patterns, and correlations that inform business decisions and drive innovation.
Why you should learn this:
The demand for healthcare data analysts is skyrocketing, with a projected growth rate of 14% by 2028, outpacing the national average. Healthcare organizations are looking for professionals who can extract insights from complex data sets to inform business decisions and improve patient outcomes.
Expected Salary: A Healthcare Data Analyst at Infosys can expect a salary range of $80,000 to $120,000 per annum, making it an attractive career option for those looking to advance their careers and increase their earning potential.
How it works:
- Step 1: Data Ingestion - Collecting and processing large datasets from various sources, including electronic health records, claims data, and medical devices.
- Step 2: Data Analysis - Using tools and technologies such as PL/SQL, SQL, and data mapping to analyze and interpret complex healthcare data sets.
Core Concepts to Master
Data Profiling
Data profiling involves analyzing and understanding the characteristics of a dataset, including its distribution, trends, and patterns. This concept is crucial in healthcare data analysis, as it helps identify outliers, missing values, and data quality issues that can impact analysis and decision-making.
STTM Creation
STTM (Structured Technical Translation Model) creation involves designing and implementing data mapping and transformation rules to integrate data from various sources into a unified format. This concept is essential in healthcare data analysis, as it enables the integration of data from disparate sources, facilitating more accurate and comprehensive analysis.
Interview Questions (Beginner)
- What is data profiling, and how do you perform it?
- Can you explain the concept of data mapping and its importance in healthcare data analysis?
- What are the key steps involved in creating a STTM?
Job Overview
Advance Questions
- • How do you handle data quality issues and outliers in a large dataset?
- • Can you explain the concept of data normalization and its application in healthcare data analysis?
- • How do you design and implement a data warehouse for healthcare data?