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Data Analyst - Weekly Pay

Innovate Tulsa Analytics
Tulsa
Estimated Salary
USD 65.000 – USD 80.000
Live Update
30 Agustus 2026
Deadline
30 Agu 2027

Job Description

Join Innovate Tulsa Analytics and transform data into strategic insights! We're seeking a detail-oriented Data Analyst to join our dynamic team in Tulsa, Oklahoma. Enjoy the unique benefit of weekly pay while making a tangible impact on our clients' growth. This full-time role offers competitive compensation, flexible scheduling, and a collaborative environment where your analytical skills drive real-world results.

As a key member of our data team, you'll leverage cutting-edge tools to uncover trends, optimize operations, and present actionable recommendations. We value creativity, precision, and a passion for data-driven decision-making. If you're ready to accelerate your career with a company that invests in your success through timely compensation and professional development, apply today!

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities for business optimization
  • Create compelling data visualizations using tools like Tableau, Power BI, or Looker
  • Develop SQL queries to extract, clean, and transform large datasets from relational databases
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Prepare comprehensive reports and dashboards for executive stakeholders
  • Implement statistical models to forecast business outcomes and support strategic planning
  • Maintain data integrity and ensure compliance with privacy regulations
  • Present findings to leadership teams with clear, actionable recommendations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • 3+ years of professional experience in data analysis or business intelligence
  • Expert proficiency in SQL and relational database management
  • Advanced skills in data visualization tools (Tableau, Power BI, or equivalent)
  • Strong knowledge of statistical analysis methods and data modeling techniques
  • Experience with Python (Pandas, NumPy) or R for data manipulation
  • Excellent communication skills with ability to translate complex insights for non-technical audiences
  • Proven ability to manage multiple projects and meet deadlines in fast-paced environments

Required Skills

Data Analysis SQL Tableau Python Business Intelligence Statistical Modeling Data Visualization Excel

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