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.
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 Mana...
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.
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