Data Analyst and Developer
Role Overview
Supports business operations and growth by transforming data into accurate, accessible, actionable information.
Works with business users and Information Services to understand reporting needs and build analytical solutions.
Analyzes enterprise data on sales, customers, products, inventory, financial performance, operations, and other business areas.
Takes day-to-day direction from the Lead Application Developer.
Key Skills for This Role
Full Job Posting
Role overview
Supports business operations and growth by transforming data into accurate, accessible, actionable information.
Works with business users and Information Services to understand reporting needs and build analytical solutions.
Analyzes enterprise data on sales, customers, products, inventory, financial performance, operations, and other business areas.
Takes day-to-day direction from the Lead Application Developer.
Responsibilities
- Gather and document requirements for reports, dashboards, data extracts, and analytical solutions.
- Develop, test, and maintain dashboards, reports, data models, and visualizations using company-sanctioned tools.
- Write and optimize SQL queries to retrieve, combine, transform, summarize, and validate data.
- Analyze trends, patterns, exceptions, and opportunities and communicate findings to users and leadership.
- Define KPIs and reporting rules with stakeholders; validate results and help resolve data-quality issues.
- Improve or automate reporting processes; create test plans and document data sources, calculations, refreshes, and support procedures.
- Train report users, collaborate across teams, and follow data security, confidentiality, testing, and change-management standards.
Required qualifications
- Demonstrated experience developing and maintaining dashboards, reports, data models, or visualizations with Carolina-sanctioned tools.
- Proficiency with SQL and relational database concepts, including joins, filters, calculations, and aggregations.
- Experience analyzing data with Excel, including formulas, pivot tables, charts, lookups, filtering, and data manipulation.
- Experience gathering business requirements, validating and reconciling data, and supporting production analytical solutions.
Preferred qualifications
- Related bachelor’s degree preferred; equivalent education, training, certifications, and relevant experience may be considered.
- Two or more years of related professional experience preferred.
- Python or R, ETL and data transformation, automated refreshes, or data modeling experience preferred.
- Familiarity with ERP, CRM, e-commerce, financial, sales, inventory, or other business systems preferred.
Skills
- Strong analytical, problem-solving, organizational, and time-management skills.
- Clear written and verbal communication, including explaining technical concepts to nontechnical audiences.
- Able to work independently and collaboratively, manage priorities, and maintain accuracy and attention to detail.
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