Kanak Elite Services
Data Analyst (Healthcare, SQL, Big Data (PySpark), AWS Glue)
Kanak Elite Services, Trenton, New Jersey, United States
Title
Data Analyst (Healthcare, SQL, Big Data (PySpark), AWS Glue)
– 3 Openings (100% Remote)
Location 100% Remote
Applicant Eligibility LinkedIn profile must be older than 2017. Submit all mandatory skills: Healthcare, SQL, Big Data (PySpark), AWS. Preferred: healthcare experience in recent years, and any healthcare role within the last 3 years is acceptable.
Experience 10+ years
Key Responsibilities
Analyze large datasets and provide actionable insights to stakeholders
Build ad hoc queries and reports using SQL, Python, and visualization tools
Translate business requirements into analytical questions and reporting logic
Partner with data engineers to understand backend data models and pipelines
Ensure data quality and assist in user acceptance testing (UAT)
Required Technical Skills
Advanced SQL (joins, window functions, subqueries)
Data visualization tools (Power BI, Tableau, or similar)
Data profiling, cleansing, and validation
Business requirement analysis
Communication & presentation of data insights
Python (for data manipulation and exploratory analysis)
Excel (pivot tables, formulas, macros)
Basic understanding of cloud data platforms (AWS/Redshift/Glue)
Metadata management and data cataloging
Familiarity with healthcare KPIs and metrics
Employment Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industry: Software Development
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– 3 Openings (100% Remote)
Location 100% Remote
Applicant Eligibility LinkedIn profile must be older than 2017. Submit all mandatory skills: Healthcare, SQL, Big Data (PySpark), AWS. Preferred: healthcare experience in recent years, and any healthcare role within the last 3 years is acceptable.
Experience 10+ years
Key Responsibilities
Analyze large datasets and provide actionable insights to stakeholders
Build ad hoc queries and reports using SQL, Python, and visualization tools
Translate business requirements into analytical questions and reporting logic
Partner with data engineers to understand backend data models and pipelines
Ensure data quality and assist in user acceptance testing (UAT)
Required Technical Skills
Advanced SQL (joins, window functions, subqueries)
Data visualization tools (Power BI, Tableau, or similar)
Data profiling, cleansing, and validation
Business requirement analysis
Communication & presentation of data insights
Python (for data manipulation and exploratory analysis)
Excel (pivot tables, formulas, macros)
Basic understanding of cloud data platforms (AWS/Redshift/Glue)
Metadata management and data cataloging
Familiarity with healthcare KPIs and metrics
Employment Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industry: Software Development
#J-18808-Ljbffr