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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift with Relocation Assistance

DataDriven Analytics Corp
Indianapolis
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
14 Oktober 2026
Deadline
14 Okt 2027

Job Description

Unlock your potential with DataDriven Analytics Corp! We're seeking a talented Data Analyst to join our innovative team on a weekend shift schedule. Enjoy the vibrant culture of Indianapolis while working in a collaborative environment that values work-life balance. We offer comprehensive relocation assistance to help you make Indianapolis your new home.

This role is perfect for data enthusiasts who thrive in non-traditional schedules and want to impact business decisions through insightful analysis. You'll transform raw data into actionable intelligence while enjoying competitive compensation and relocation support.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and business opportunities
  • Create interactive dashboards and visualizations using Tableau and Power BI
  • Develop SQL queries to extract, clean, and transform large datasets
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Monitor key performance indicators and generate weekly/monthly reports
  • Implement data quality controls and validation processes
  • Present findings to senior leadership with clear, actionable insights

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Advanced proficiency in SQL and data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and data modeling techniques
  • Experience with Python or R for data manipulation and analysis
  • Ability to work independently during weekend shifts (Sat-Sun)
  • Excellent communication skills with ability to translate technical insights
  • Proven track record of delivering accurate, timely data solutions

Required Skills

Data Analysis SQL Tableau Power BI Python Statistics Data Visualization Business Intelligence

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