Data Analyst II 4P/703

• Use Python to support data analysis, reporting, automation, and troubleshooting.
• Acquire data from primary and secondary sources and maintain databases/data systems.
• Clean, filter, validate, and organize data to ensure accuracy and consistency.
• Review reports, system outputs, and performance indicators to identify and correct data or code-related issues.
• Analyze complex datasets to identify trends, patterns, and business insights.
• Interpret data and provide ongoing reports using statistical techniques.
• Support troubleshooting for a complex, non-standard system.
• Learn system processes, workflows, and data structures quickly.
• Collaborate with business and technical teams to resolve issues and improve reporting accuracy.

Do you have experience in Technical troubleshooting support?, We are seeking a detail-oriented Data Analyst II with 3-5 years of experience to support data analysis, reporting, database maintenance, and system troubleshooting. The primary requirement for this role is strong Python experience , as the selected candidate will help manage a complex and non-standard system.

The ideal candidate must be comfortable learning new systems, troubleshooting issues, working with complex datasets, and identifying trends or patterns in data. Strong analytical thinking, problem-solving ability, and willingness to learn are must-haves for success in this role., * 3-5 years of experience in data analysis, reporting, database support, or related work.

• Strong hands-on experience with Python is required.
• Ability to learn and troubleshoot complex, non-standard systems.
• Experience collecting, cleaning, analyzing, and interpreting data.
• Strong analytical and problem-solving skills.
• High attention to detail and accuracy.
• Ability to work with large and complex datasets.
• Strong written and verbal communication skills.

Preferred Skills

• Experience with SQL, Excel, Tableau, Power BI, R, or similar tools.
• Knowledge of statistical analysis techniques.
• Experience supporting data quality, reporting automation, or system troubleshooting.
• Experience creating recurring reports, dashboards, or performance metrics., Python, Data Analysis, Troubleshooting, Data Cleaning, Data Validation, Reporting, Database Maintenance, Statistical Analysis, Complex Systems, SQL, Excel, Dashboards, Data Quality, Problem Solving, Communication.