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Data Analyst
Data AnalystNmble Hiring Solutions • Charlotte, NC, United States
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Data Analyst

Data Analyst

Nmble Hiring Solutions • Charlotte, NC, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Our client is seeking a Data Analyst to join their team on a contract basis. This role is ideal for someone who thrives on uncovering insights through data, translating complex information into clear business recommendations, and collaborating cross-functionally to support strategic decision-making.

As a mid- to senior-level Data Analyst , you’ll work with large datasets, refine data models, and provide analytical support to business leaders across operations, finance, and strategy. You’ll play a hands-on role in improving data processes and ensuring reporting accuracy.

Key Responsibilities

  • Collect, clean, and analyze large datasets from multiple sources to identify trends and insights.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI , Tableau , or Looker .
  • Partner with business stakeholders to define KPIs and translate data findings into actionable recommendations.
  • Support data governance and ensure accuracy, consistency, and integrity of reporting.
  • Automate and streamline data collection and reporting processes.
  • Work closely with IT and data engineering teams to optimize data pipelines and improve accessibility.
  • Present findings to leadership in a clear, concise, and visually engaging way.

Qualifications

  • 5+ years of professional experience as a Data Analyst or in a related analytics role.
  • Proficiency with SQL , Excel , and at least one BI / reporting tool (Power BI, Tableau, Looker, etc.).
  • Strong understanding of relational databases, ETL processes, and data modeling.
  • Experience with Python or R for statistical analysis and automation is a plus.
  • Excellent communication skills—able to convey complex data in simple business terms.
  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field.
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