We are seeking a Data Analyst with strong SQL and Python expertise to support data validation data quality and exploratory data analysis. This role focuses on ensuring data is accurate reliable and structured for downstream analytics and reporting.
Note:This isnot a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
Perform data validation and quality checks using SQL and Python
Conduct exploratory data analysis (EDA) to identify trends anomalies and insights
Analyze data structures relationships and lineage to ensure data integrity
Ensure data is usable consistent and reliable for analytics BI and business teams
Support data manipulation reporting and downstream data consumption
Collaborate with stakeholders to understand data requirements and usage
Required Qualifications
Bachelors degree (Masters or PhD preferred)
5 years of relevant Data Analyst experience
Strong hands-on experience withSQL and Python(data validation not just querying)
Deep understanding ofdata structures and data lifecycle including:
Data shape relationships and storage
Data quality consistency and lineage
Ensuring data reliability for analytics and reporting
Experience withexploratory data analysis (EDA)
Experience with data manipulation and reporting
Preferred Qualifications
Experience with BI tools (Power BIpreferred)
Healthcare domain experience (payer/provider clinical insurance or operational data)
Experience with Databricks and/or PySpark
Required Skills:
Data AnalystpYTHON
Job Title:Data AnalystJob Location:RemoteInterview:VirtualJob Duration:6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation data quality and exploratory data analysis. This role focuses on ensuring data is accurate reliable and s...
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation data quality and exploratory data analysis. This role focuses on ensuring data is accurate reliable and structured for downstream analytics and reporting.
Note:This isnot a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
Perform data validation and quality checks using SQL and Python
Conduct exploratory data analysis (EDA) to identify trends anomalies and insights
Analyze data structures relationships and lineage to ensure data integrity
Ensure data is usable consistent and reliable for analytics BI and business teams
Support data manipulation reporting and downstream data consumption
Collaborate with stakeholders to understand data requirements and usage
Required Qualifications
Bachelors degree (Masters or PhD preferred)
5 years of relevant Data Analyst experience
Strong hands-on experience withSQL and Python(data validation not just querying)
Deep understanding ofdata structures and data lifecycle including:
Data shape relationships and storage
Data quality consistency and lineage
Ensuring data reliability for analytics and reporting
Experience withexploratory data analysis (EDA)
Experience with data manipulation and reporting
Preferred Qualifications
Experience with BI tools (Power BIpreferred)
Healthcare domain experience (payer/provider clinical insurance or operational data)