Data Analyst

Summary

STI is seeking a Data Analyst who is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.

Responsibilities

• Gather, clean, and organize large datasets from various sources
• Validate and verify data accuracy, consistency, and completeness across various data sources
• Identify and resolve data discrepancies, inconsistencies and errors
• Perform routine and ad hoc data quality checks using automated and manual validation techniques
• Work closely with data entry teams and other analysts and stakeholders to ensure data integrity
• Perform data analysis to identify trends, patterns, and correlations
• Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI
• Collaborate with cross-functional teams to support business objectives
• Interpret data to provide strategic recommendations and business insights
• Ensure data accuracy and integrity
• Use statistical techniques and predictive modeling to improve decision-making
• Document processes and methodologies for data collection and analysis

Skills

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Proficiency in data analysis tools such as SQL, Python, R, or Excel
• Experience with data visualization tools like Tableau, Power BI, or Google Data Studio
• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• Ability to work independently and in a team-oriented environment
• Attention to detail and a strong understanding of data governance principles
• Experience in machine learning, predictive modeling, or statistical analysis
• Knowledge of database management and ETL (Extract, Transform, Load) processes
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure

Qualifications

Must Haves

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Proficiency in data analysis tools such as SQL, Python, R, or Excel
• Experience with data visualization tools like Tableau, Power BI, or Google Data Studio
• Strong analytical and problem-solving skills
• Excellent communication and presentation abilities
• Ability to work independently and in a team-oriented environment
• Attention to detail and a strong understanding of data governance principles

Nice to Haves

• Experience in machine learning, predictive modeling, or statistical analysis
• Knowledge of database management and ETL (Extract, Transform, Load) processes
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure