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Data Analyst (Weekend Shift)

Insight Analytics Solutions
Indianapolis, IN
Estimated Salary
USD 65.000 – USD 85.000
Live Update
15 Juli 2026
Deadline
15 Jul 2027

Job Description

Join Insight Analytics Solutions as a Weekend Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to drive data-driven decisions during our weekend shift (Sat-Sun, 12am-8pm ET). Enjoy competitive pay, full benefits, and the flexibility of remote work from anywhere in the US.

This role is perfect for analytical minds who thrive in dynamic environments. You'll leverage cutting-edge tools to uncover trends, optimize processes, and support strategic initiatives while maintaining work-life balance with a compressed schedule.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify business opportunities
  • Create compelling visualizations and dashboards for executive stakeholders
  • Validate data integrity and implement quality control measures
  • Collaborate with cross-functional teams to translate findings into actionable strategies
  • Develop automated reporting pipelines for weekend operational metrics
  • Present insights through clear documentation and executive presentations
  • Support ad-hoc analysis requests during weekend business hours

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with ETL processes and data warehousing concepts
  • Excellent written and verbal communication skills
  • Ability to work independently during weekend shifts with minimal supervision
  • Portfolio demonstrating data-driven projects preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Data Warehousing Excel R Machine Learning

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