We are seeking a skilled Data Analyst with 2+ years of experience to join our team. In this role, you will be responsible for conducting data analysis, statistical modeling, and data visualization to support various business functions. You will collaborate closely with data scientists and engineers to deliver actionable insights, improve decision-making, and drive business growth. Your expertise in SQL, Python, and data modeling will be crucial in optimizing our data processes and reporting systems.
Role & Responsibilities
Conduct thorough data analysis to identify trends, patterns, and insights that drive business decisions
Design and develop data models to support analytics and reporting needs
Create and maintain dashboards, reports, and data visualizations
Collaborate with data scientists, engineers, and business stakeholders to translate business requirements into technical specifications
Perform statistical analysis and predictive modeling to support business initiatives
Ensure data quality and integrity across various sources and systems
Provide ad-hoc data support to different business functions as needed
Optimize and automate data collection, processing, and reporting workflows using SQL and Python
Stay updated on industry trends and best practices in data analytics and visualization
Requirements
Bachelor’s degree in Computer Science, Computer Engineering or a related field
2+ years of experience in data analytics, statistical analysis, and data visualization
Proficiency in SQL for data manipulation and querying
Strong programming skills in Python for data analysis and automation
Experience with data modeling and understanding of relational databases
Familiarity with different data visualization tools
Excellent analytical skills with the ability to interpret complex data sets
Strong communication skills with the ability to present data-driven insights to non-technical stakeholders
Experience collaborating with data scientists and engineers is a plus
Ability to work independently and manage multiple projects simultaneously
