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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst | Weekly Pay | Austin, TX

Apex Analytics Solutions
Austin
Estimated Salary
USD 1.200 – USD 1.800
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

We are seeking a highly analytical Senior Data Analyst to join our dynamic team in Austin, Texas. If you are passionate about turning complex data into actionable insights and value a flexible weekly pay structure, we want to hear from you.

At Apex Analytics, we believe in empowering our employees. This role offers the stability of full-time employment with the immediate financial relief of a weekly paycheck, allowing you to focus on what you do best—analyzing data. We provide a collaborative environment where your insights directly influence our strategic direction.

Why Join Us?

  • Weekly Pay: Get paid every week, not every two weeks.
  • Competitive Compensation: Based on experience, ranging from $1,200 to $1,800 per week.
  • Modern Tech Stack: Work with the latest tools in the industry.
  • Remote/Hybrid Options: Enjoy flexibility in your work environment.

Responsibilities

  • Data Extraction & Modeling: Extract, clean, and transform large datasets from various sources using advanced SQL and Python scripting.
  • Dashboard Creation: Design and maintain interactive dashboards in Tableau and Power BI to visualize key performance indicators (KPIs) and trends.
  • Strategic Reporting: Collaborate with cross-functional teams to identify business needs and translate them into comprehensive data requirements and analytical models.
  • Statistical Analysis: Conduct deep-dive statistical analysis to support strategic decision-making, forecast trends, and measure campaign effectiveness.
  • Stakeholder Communication: Prepare detailed reports and presentations for executives, ensuring data accuracy, clarity, and actionable insights for non-technical audiences.
  • Process Improvement: Identify data quality issues and implement processes to improve data integrity and efficiency across the organization.

Qualifications

  • Experience: 3+ years of proven experience in data analysis, business intelligence, or a related quantitative field.
  • Tech Skills: Proficiency in SQL (Advanced) and Python (Pandas/NumPy preferred). Experience with visualization tools like Tableau or Power BI is essential.
  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • Problem Solving: Strong ability to troubleshoot complex data problems and derive logical conclusions from noisy datasets.
  • Communication: Excellent written and verbal communication skills with the ability to explain complex data concepts to diverse stakeholders.
  • Attention to Detail: A meticulous approach to data validation and quality assurance.

Required Skills

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

Ready to Take This Challenge?

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