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Information Technology 🏢 Part Time ⭐️ Verified

Weekend Data Analyst

Insight Analytics Group
Columbus
Estimated Salary
USD 28 – USD 38
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join our dynamic data team at Insight Analytics Group and transform raw data into actionable insights! We're seeking a Weekend Data Analyst to support our 24/7 operations center in Columbus. This flexible role offers the perfect opportunity to leverage your analytical skills while enjoying a work-life balance with weekends off during the week. You'll collaborate with cross-functional teams to drive data-driven decisions and contribute to cutting-edge business intelligence solutions.

What We Offer:

  • Competitive hourly pay ($28-$38)
  • Weekend shift flexibility (Sat/Sun 6am-6pm)
  • Comprehensive benefits package
  • Modern downtown Columbus office
  • Professional development opportunities

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to identify trends and patterns
  • Create interactive dashboards and reports for stakeholders using Tableau/Power BI
  • Monitor key performance indicators and provide weekly performance summaries
  • Collaborate with business units to define data requirements and deliver actionable insights
  • Maintain data integrity through quality assurance protocols and documentation
  • Support ad-hoc analysis requests during weekend operational hours
  • Present findings to leadership through clear, concise data narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
  • 2+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong experience with Tableau or Power BI dashboard development
  • Excellent problem-solving and critical thinking abilities
  • Ability to work independently during weekend shifts with minimal supervision
  • Strong communication skills with ability to translate technical concepts for non-technical audiences
  • Experience with data warehousing concepts and ETL processes preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Data Analysis Business Intelligence Excel Statistical Analysis

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