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Data Analyst (Weekly Pay) - Contract

Innovate Analytics Solutions
Raleigh, NC
Estimated Salary
USD 35 – USD 45
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Join Innovate Analytics Solutions as a Data Analyst in Raleigh, NC and enjoy the flexibility of weekly pay! We're seeking a detail-oriented professional to transform complex datasets into actionable insights for our tech clients. This contract position offers competitive compensation and the opportunity to work with cutting-edge tools in a dynamic environment.

As a key member of our analytics team, you'll collaborate with cross-functional partners to drive data-driven decision-making. Our weekly pay schedule ensures you get rewarded promptly for your contributions, providing financial flexibility while you make an impact.

Responsibilities

  • Analyze large datasets using SQL, Python, and Excel to identify trends and patterns
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Develop automated data pipelines to improve reporting efficiency
  • Collaborate with product teams to define KPIs and track performance metrics
  • Present findings to senior leadership through clear visualizations and narratives
  • Ensure data accuracy through rigorous validation and quality checks
  • Support ad-hoc analysis requests to solve business challenges

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Expert proficiency in SQL and advanced Excel functions
  • Strong knowledge of Python (Pandas, NumPy) or R for data manipulation
  • Experience with data visualization tools (Tableau, Power BI, or Looker)
  • Proven ability to translate complex data into business insights
  • Excellent communication and presentation skills
  • Experience working with cloud platforms (AWS, Azure, or GCP) preferred

Required Skills

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

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