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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Remote (Weekend Shifts Available)

Nexus Analytics Partners
Portland, OR
Estimated Salary
USD 65.000 – USD 90.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join the Future of Data in Portland, OR

We are looking for a detail-oriented and analytical Data Analyst to join our remote team. If you are based in Texas or Portland, OR and seeking a role that offers the ultimate work-life balance, this is your chance. We offer flexible remote options and weekend shifts that allow you to enjoy your weekdays for personal growth and family time.

As a Data Analyst at Nexus Analytics, you will be the bridge between raw data and strategic decision-making. You will work with cutting-edge tools to transform complex datasets into actionable insights that drive business growth. Our culture values transparency, innovation, and the freedom to work from anywhere in the US.

Why Join Us?

  • Flexibility: Enjoy the freedom of a fully remote environment with the option to work weekend shifts.
  • Growth: Access to continuous learning opportunities and professional development.
  • Impact: Play a pivotal role in shaping the data strategy for top-tier clients.

Responsibilities

  • Collect, clean, and interpret large sets of data to identify trends and patterns that drive business strategy.
  • Design and maintain interactive dashboards (Tableau, PowerBI) to visualize key performance indicators (KPIs) for stakeholders.
  • Perform complex data modeling and statistical analysis to support A/B testing and forecasting.
  • Collaborate with cross-functional teams in Portland, OR, and remote locations to understand business requirements.
  • Automate reporting processes to increase efficiency and reduce manual errors.
  • Ensure data integrity, accuracy, and compliance with data governance policies.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
  • 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Proficiency in SQL (Querying, Joins, Stored Procedures) and Python (Pandas, NumPy).
  • Strong experience with data visualization tools (Tableau, PowerBI, or Looker).
  • Excellent communication skills to translate technical findings to non-technical stakeholders.
  • Ability to work in a fast-paced environment with flexible scheduling, including weekend availability.

Required Skills

SQL Python Tableau PowerBI Excel Data Visualization ETL Statistical Analysis A/B Testing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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