Data Analyst

Job Description Key Responsibilities Collaborate with business stakeholders to gather and understand data requirements • Apply Data Engineering concepts including ETL/ELT, data modeling, and data warehousing. • Communicate analytical findings and recommendations to technical and business teams. • Analyze and interpret data to identify trends, insights, and business opportunities. • Develop and optimize complex SQL queries for data extraction, validation, and analysis. • Work with Snowflake to manage, transform, and analyze large datasets. • Use Python for data analysis, automation, and data quality checks. • Support data validation, troubleshooting, and root cause analysis. • Work with AWS services such as S3, Glue, and Athena to support data solutions. Required Skills & Qualifications • Strong proficiency in SQL for data analysis • Hands-on experience with Snowflake. • Experience using Python for data analysis and automation. • Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing). • Working knowledge of AWS services, particularly S3 • Strong analytical and problem-solving skills. • Experience in requirement gathering and stakeholder collaboration. • Excellent verbal and written communication skills. Skills: Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Automation, Communication Skills, Data Analysis, Data Collection, Data Management, Data Modeling, Data Quality, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Identify Issues, Presentation/Verbal Skills, Problem Solving Skills, Python Programming/Scripting Language, Query Optimization, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Trend Analysis, Writing Skills undefined: TechDigital Company Size: 100 to 499 employees Industry: Other/Not Classified undefined: 0