NESC Staffing · 1 day ago
Data Analyst
NESC Staffing is seeking a Data Analyst to help transform data into actionable insights that support strategic decision-making and business growth. In this role, you’ll partner with cross-functional teams to analyze complex datasets, maintain strong data integrity across core systems, and deliver clear reporting that helps leaders and teams make informed decisions.
Responsibilities
Collect, analyze, and interpret datasets from multiple sources, including AMS data and spreadsheets, to identify trends, patterns, and key insights
Partner with cross-functional teams to understand reporting needs and translate business requirements into effective analysis and deliverables
Design and maintain Excel-based dashboards and reporting using pivot tables, charts, graphs, and advanced formulas to communicate findings clearly
Monitor and improve data quality through validation, cleansing, and ongoing quality control practices
Perform ad hoc analyses and deep dives to support decision-making, uncover opportunities, and help address operational challenges
Support database integrity, security, process documentation, and system testing as needed
Identify and implement process improvements to strengthen data collection, analysis, and reporting efficiency
Stay current on best practices in reporting, analysis, and data visualization
Respond to telephone and electronic inquiries from current and prospective members as needed
Perform other duties as assigned
Qualification
Required
Bachelor's degree in a related field
2–3 years of data analysis (or closely related) experience
Advanced proficiency in Microsoft Excel, including formulas, functions, and pivot tables
Strong analytical and problem-solving skills with the ability to turn data into practical recommendations
High attention to detail and accuracy when working with large datasets
Experience creating reports and dashboards using data visualization and reporting techniques
Working knowledge of data validation, cleansing, data profiling, and data quality assessment methodologies
Solid understanding of database concepts
Clear communication skills, including the ability to explain complex data in a straightforward way
Self-directed and collaborative work style; able to balance independent work with cross-functional partnership