Data Analyst

3 weeks ago

Tampa, United States Doran Jones Inc Full time

We are seeking an experienced Mid-Level Data Analyst to join our team. The ideal candidate will have 3+ years of experience in data analysis, with proficiency in AWS services such as Glue, EMR with Spark, and EKS. As a Mid-Level Data Analyst, you will be responsible for leading data analysis efforts, designing and implementing ETL processes, and providing actionable insights to drive business decisions.

Responsibilities

    • Lead data analysis projects from conception to delivery, ensuring high-quality and timely results.
    • Design, develop, and maintain ETL processes using AWS Glue to extract, transform, and load data into data lakes or warehouses.
    • Utilize AWS EMR with Spark for processing and analyzing large-scale datasets efficiently.
    • Develop and maintain data models, dashboards, and reports to visualize insights and support decision-making.
    • Collaborate with stakeholders to understand business requirements and translate them into analytical tasks.
    • Mentor junior team members and provide guidance on best practices in data analysis and AWS services.
    • Proactively identify opportunities to improve data quality, efficiency, and scalability.
    • Stay updated with the latest tools, technologies, and trends in data analytics and cloud computing.
Requirements
    • Bachelor's degree in computer science, Statistics, Mathematics, or a related field.
    • 3+ years of experience in data analysis, with a strong understanding of ETL processes and data modeling.
    • Proficiency in SQL and Python for data manipulation, analysis, and visualization.
    • Hands-on experience with AWS services such as Glue, EMR with Spark, and EKS.
    • Excellent analytical and problem-solving skills with the ability to work with complex datasets.
    • Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels.
Preferred Requirements
    • AWS Certified Data Analytics - Specialty certification.
    • Experience with other AWS services such as S3, Redshift, Athena, etc.
    • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
    • Proven track record of delivering data-driven insights that have impacted business outcomes.

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