Data Analyst
Apolis
Date: 2 days ago
City: Reading, PA
Contract type: Full time
Role: Data Analyst
Start date: Immediate availability.
Location: READING, PA (Hybrid)
Job Description
LOCAL ONLY
Gather, clean, and interpret data from various sources to provide actionable insights.Use advanced analytical methods to identify trends, patterns, and correlations within large data sets. Develop reports, dashboards, and visualizations to present data insights effectively using tools like Tableau, Power BI, or similar. Communicate findings clearly to stakeholders, translating complex data into actionable business insights. Work closely with cross-functional teams (business units, IT, and data architects) to understand business requirements and deliver data-driven solutions.
Assist in the design and implementation of data models and databases to ensure data is properly structured for reporting and analysis. Ensure data accuracy, quality, and consistency across different data sources.
Apply data governance principles throughout data ingestion, processing, and presentation phases. Proficiency in SQL, Python, and ETL processes. Experience with data visualization tools (e.g., Power BI, Tableau) and Excel.
Strong understanding of data warehousing, data lake design, and full lifecycle data management.
Knowledge of cloud platforms like AWS (Lambda, Glue, EMR) and data integration on cloud services.
Start date: Immediate availability.
Location: READING, PA (Hybrid)
Job Description
LOCAL ONLY
Gather, clean, and interpret data from various sources to provide actionable insights.Use advanced analytical methods to identify trends, patterns, and correlations within large data sets. Develop reports, dashboards, and visualizations to present data insights effectively using tools like Tableau, Power BI, or similar. Communicate findings clearly to stakeholders, translating complex data into actionable business insights. Work closely with cross-functional teams (business units, IT, and data architects) to understand business requirements and deliver data-driven solutions.
Assist in the design and implementation of data models and databases to ensure data is properly structured for reporting and analysis. Ensure data accuracy, quality, and consistency across different data sources.
Apply data governance principles throughout data ingestion, processing, and presentation phases. Proficiency in SQL, Python, and ETL processes. Experience with data visualization tools (e.g., Power BI, Tableau) and Excel.
Strong understanding of data warehousing, data lake design, and full lifecycle data management.
Knowledge of cloud platforms like AWS (Lambda, Glue, EMR) and data integration on cloud services.
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