Job description

Job Title Senior Data Analytics Specialist / IT Data Analytics Manager Location: Charlotte, NC (Hybrid) Duration: 6 Months (Contract with potential for Contract-to-Hire) Position Overview We are seeking a highly analytical and detail-oriented Senior Data Analytics Specialist / IT Data Analytics Manager to join our team in a hybrid capacity based in Charlotte, NC. This individual will play a key role in managing and analyzing large and complex datasets to provide actionable insights related to IT hardware inventory and logistics. The ideal candidate will be hands-on in data extraction, integration, reporting, and visualization, leveraging tools such as Excel, SQL, and Python to drive data accuracy, consistency, and efficiency. Key Responsibilities • Extract, clean, and integrate large datasets from multiple sources to generate data-driven insights supporting IT hardware inventory and logistics. • Maintain and enhance databases, ensuring data accuracy, completeness, and consistency across systems. • Develop and automate reports, dashboards, and visualizations to support decision-making and performance tracking. • Conduct data audits, validation, and quality control to ensure adherence to data governance standards. • Design and implement advanced formulas, pivot tables, and analytics within Excel; utilize SQL or Python for more complex data manipulation and analysis. • Support IT projects and assignments by providing comprehensive data analytics and visualization deliverables. • Manage and execute project tasks, deliverables, and milestones while maintaining clear communication with stakeholders and business owners. • Optimize workflows and processes to improve efficiency and scalability of data operations. • Document and communicate findings, insights, and recommendations to technical and non-technical audiences. Qualifications & Requirements • 5+ years of experience working with large and complex datasets, preferably in IT data analytics or a related field. • Proven ability to manipulate, analyze, and interpret data to produce clear, actionable insights. • Advanced proficiency in Microsoft Excel (formulas, calculations, pivot tables, and data modeling). • Strong command of SQL and/or Python for data querying, transformation, and analysis (highly preferred). • Experience developing reports, dashboards, and ad-hoc analyses across various platforms. • Excellent attention to detail with strong data accuracy and organizational skills. • 5+ years of project management experience, including managing timelines, deliverables, and communications with cross-functional teams and stakeholders. • Demonstrated ability to work independently and collaboratively in a fast-paced, data-driven environment. Preferred Skills • Experience with data visualization tools such as Power BI, Tableau, or Looker. • Familiarity with IT asset management or logistics data models. • Knowledge of data governance, compliance, and best practices for enterprise data management.

Requirements