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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

DataDriven Insights Inc.
Indianapolis
Estimated Salary
USD 65.000 – USD 75.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Join DataDriven Insights Inc. as a Data Analyst on our dynamic weekend shift and transform raw data into strategic business intelligence. This unique opportunity allows you to leverage your analytical skills while enjoying a flexible schedule, contributing directly to our clients' growth in Indianapolis. You'll work in a collaborative, tech-forward environment where your insights drive real-world impact.

Why Choose Us? We offer competitive compensation, comprehensive benefits, and career development opportunities in one of America's fastest-growing tech hubs. Our weekend shift provides work-life balance without sacrificing professional growth.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and actionable business insights
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Develop SQL queries to extract, clean, and transform data from multiple sources
  • Collaborate with cross-functional teams to deliver data-driven recommendations
  • Monitor key performance indicators (KPIs) and generate weekly/monthly reports
  • Implement data validation protocols to ensure accuracy and integrity
  • Present findings to stakeholders through clear, compelling narratives

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 Excel
  • Expertise in data visualization tools (Tableau, Power BI, or Looker)
  • Strong statistical analysis and problem-solving skills
  • Experience with ETL processes and data warehousing
  • Ability to work independently and manage deadlines in a weekend shift
  • Excellent communication skills with both technical and non-technical audiences

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL Excel

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