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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay

Apex Analytics Group
Columbus
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
29 September 2026
Deadline
29 Sep 2027

Job Description

Join our dynamic team at Apex Analytics Group as a Data Analyst and enjoy the unique benefit of weekly pay! We're seeking a detail-oriented professional to transform complex data into actionable insights for our clients across Ohio. This role offers competitive compensation, comprehensive benefits, and the opportunity to work with cutting-edge technologies in a collaborative environment.

As a key member of our analytics team, you'll play a crucial role in driving data-driven decision-making. We value innovation, precision, and the ability to communicate complex findings clearly. If you're passionate about data and want to make an impact in Ohio's thriving business landscape, we encourage you to apply today!

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 cross-functional teams to define data requirements and deliver actionable insights
  • Develop automated reporting systems to monitor key performance indicators
  • Ensure data accuracy through rigorous validation and quality control processes
  • Present findings to stakeholders through clear, concise visualizations and presentations
  • Stay current with industry trends and emerging analytics technologies

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 understanding of statistical analysis and experimental design
  • Experience with data warehousing concepts and ETL processes
  • Excellent communication skills with ability to translate technical concepts for non-technical audiences
  • Certification in data analytics (e.g., Google Data Analytics, Microsoft Azure) preferred

Required Skills

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

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