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Information Technology 🏢 Contract ⭐️ Verified

Data Analyst - Weekly Pay

DataDriven Insights LLC
Columbus
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
8 September 2026
Deadline
8 Sep 2027

Job Description

Join DataDriven Insights LLC as a Data Analyst and enjoy the flexibility of weekly pay while making impactful business decisions. We're seeking a detail-oriented professional to transform raw data into actionable insights for our Fortune 500 clients in the healthcare and retail sectors. This remote-friendly contract position offers competitive compensation and immediate start dates.

Our ideal candidate thrives in fast-paced environments and possesses strong analytical skills to uncover hidden trends. You'll collaborate with cross-functional teams to deliver data-driven recommendations that directly influence strategic initiatives. With weekly direct deposits, you'll never wait for your hard-earned compensation.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify business opportunities
  • Create interactive dashboards in Tableau/Power BI for executive stakeholders
  • Develop automated reporting pipelines to reduce manual workload by 40%
  • Present findings to non-technical leadership through compelling visualizations
  • Validate data integrity and implement quality control measures
  • Support A/B testing initiatives for marketing optimization projects
  • Document methodologies and create reusable analysis templates

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas/Numpy), and Excel advanced functions
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong statistical knowledge and hypothesis testing skills
  • Experience with healthcare/retail data preferred
  • Ability to translate technical concepts for non-technical audiences
  • Proven track record of delivering data-driven solutions

Required Skills

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

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