Data Analyst

Stellar IT Solutions
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Data analysis
Data Validation
Data Integrity
Data Structures
Information Lifecycle Management
Python
Operational Data Store
Power BI
Standard Sql
SQL Databases
Data Processing
PySpark
Data Analytics
Databricks

Job description

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., * 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

Requirements

Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background., * Bachelor s degree (Master s or PhD preferred)

  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
  • Data shape, relationships, and storage
  • Data quality, consistency, and lineage
  • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications

  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

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