Senior Data Analyst: Insights, Dashboards & Automation

Insight Global

Raleigh (NC)

On-site

USD 90,000 - 120,000

Full time

3 days ago
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Job summary

Insight Global is seeking a mid-to-senior Data Analyst in Raleigh, NC to transform complex data into actionable insights beyond traditional reporting. You will blend analytics, data preparation, integration, and automation to drive leadership decisions, communicating results to both technical and nontechnical stakeholders.

The role emphasizes translating vague business questions into well-defined analytical approaches and delivering compelling stories with rigorous data governance and

Qualifications

  • 5+ years of hands-on Databricks (PySpark) experience.
  • 5+ years of experience with visualization tools, including Databricks native tools and Power BI.
  • Experience creating data pipelines, APIs, and working with structured and unstructured data sources; government experience noted.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, opportunities, and actionable insights.
  • Use Python to clean, validate, transform, integrate, and analyze data.
  • Develop advanced Power BI dashboards, data models, DAX calculations, and reporting solutions.
  • Work with Databricks, data pipelines, APIs, and structured and unstructured data sources.
  • Automate data preparation and reporting processes using tools such as Power Automate.
  • Translate ambiguous business needs into well-defined analytical approaches and solutions.
  • Present findings and recommendations clearly to both technical and nontechnical audiences.
  • Apply sound practices for data quality, documentation, governance, and version control.

Tools

Databricks
Python
Power BI
Power Automate
APIs
DAX calculations
Data modeling

Job description

Insight Global is seeking a mid-to-senior Data Analyst in Raleigh, NC to transform complex data into actionable insights beyond traditional reporting. You will blend analytics, data preparation, integration, and automation to drive leadership decisions, communicating results to both technical and nontechnical stakeholders.

The role emphasizes translating vague business questions into well-defined analytical approaches and delivering compelling stories with rigorous data governance and

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