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Information Technology 🏢 Part Time ⭐️ Verified

Weekend Data Analyst

DataDriven Solutions
Oklahoma City
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join DataDriven Solutions as a Weekend Data Analyst and transform raw data into actionable insights while enjoying a flexible work schedule. This role is perfect for detail-oriented professionals who thrive in dynamic environments and want to make an impact without the traditional Monday-Friday grind. You'll work closely with cross-functional teams to drive data-driven decision-making, uncover trends, and optimize business operations. Our Oklahoma City office offers a collaborative culture, cutting-edge technology, and opportunities for professional growth. If you're passionate about data and seek work-life balance, this is your ideal career move.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities for business improvement
  • Create interactive dashboards and reports using SQL, Python, and visualization tools
  • Collaborate with stakeholders to define data requirements and deliver actionable insights
  • Monitor key performance indicators and provide regular weekend performance summaries
  • Ensure data integrity through rigorous validation and quality control processes
  • Support ad-hoc analysis projects and weekend data initiatives
  • Document methodologies and findings for team knowledge sharing

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 data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with weekend or shift-based work schedules
  • Excellent communication skills with ability to translate complex data for non-technical audiences
  • Attention to detail with proven ability to manage large datasets

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis Business Intelligence Excel Weekend Flexibility

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