Junior Data Analyst at PureIntegration

We are seeking a Junior Data Analyst to support data analysis, validation, and quality assurance activities within a network reliability analytics team. This role is designed for an early-career analyst who has strong attention to detail, solid Excel skills, and a desire to grow into more advanced analytical work. The position will support senior and mid-level analysts by executing repeatable analyses, validating outputs, running standard SQL queries, and helping ensure that deliverables are accurate, complete, and well documented. This is an excellent opportunity for someone who wants to build a strong foundation in large-scale analytics, business intelligence tools, and data-driven problem solving. The ideal candidate will be organized, intellectually curious, comfortable working with structured processes, and interested in learning how analytics can drive operational and technical improvements. This position is fully remote within the U.S. and will be a W-2 hourly engagement for 6 to 9 months. The hourly range is $30/hr - $40/hr. Candidates will be paid based on their work experience and skills. Candidates are also eligible for limited benefits such as health insurance, professional development, training, our referral bonus program, and our wellness program. Responsibilities: • Perform data collection, validation, and reconciliation activities to support the accuracy and quality of analytical outputs. • Execute structured analysis in Excel, including pivot tables, filters, formulas, and basic aggregations. • Run predefined and moderately customized SQL queries to support data extraction and analysis. • Assist with the development and maintenance of reports, dashboards, and visual outputs in Tableau and MicroStrategy. • Follow established checklists, workflows, and validation procedures to confirm that data and results are complete and consistent. • Identify anomalies, inconsistencies, and data quality issues, and escalate findings appropriately. • Document processes, definitions, and validation steps so that work can be repeated confidently and consistently. • Support senior and mid-level analysts in preparing data for deeper analysis and troubleshooting investigations. • Build familiarity with Python through reading, troubleshooting, and gradually supporting lightweight analytical tasks where appropriate. • Demonstrate an AI-aware mindset by using approved tools to improve efficiency, organization, and first-pass analysis. • Collaborate with team members to deliver accurate, timely work and maintain strong quality standards.