Data Analyst

VertivPelzer, SC

About The Position

The Data Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing structured reporting, dashboards, and data solutions while continuously improving data collection, quality, and efficiency. The position collaborates with cross-functional stakeholders to deliver high-quality insights and scalable reporting capabilities.

Requirements

  • Minimum 8–10+ years of experience in data management and analysis
  • Strong experience with databases; relational databases preferred
  • Strong ability to summarize and interpret data and recognize trends and patterns
  • Experience with project reporting and executive-level reporting
  • Advanced user of Excel and Office tools
  • Experience with PowerQuery, Power BI, and similar reporting tools
  • Experience designing reports with strong visualization and presentation capabilities
  • Proficiency in SQL
  • Experience working with data structures, templates, and tracking tools
  • Strong analytical and problem-solving skills
  • Strong communication skills and ability to present complex data to non-technical stakeholders
  • Experience working with large datasets and multiple data sources
  • Ability to work cross-functionally in a dynamic environment
  • Legally authorized to work in the United States

Nice To Haves

  • knowledge of M and DAX is a plus
  • Programming experience (e.g., VBA or other languages) is a plus

Responsibilities

  • Analyse, prepare data, and create reports for executive and project-level stakeholders
  • Prepare data, KPIs, and metrics for executive reports and presentations
  • Create various reports and dashboards for project management and executive reporting
  • Design report layouts with clear, high-level summaries, KPIs, and graphical presentations
  • Review existing data collection methods and identify continuous improvement opportunities
  • Develop and maintain tables, templates, trackers, and structured data models
  • Implement automation in data collection and reporting processes
  • Ensure data accuracy, consistency, and readiness for reporting
  • Identify trends, patterns, and insights from structured and unstructured data
  • Support cross-functional teams with reporting and analytical needs
  • Develop and enhance business intelligence solutions and dashboards
  • Apply data transformation, cleansing, and standardization techniques
  • Continuously improve reporting processes for speed, quality, and efficiency
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