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Senior Data Analyst (Daily Pay Options) - Portland, OR

Apex Analytics Group
Portland
Estimated Salary
USD 75.000 – USD 95.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Are you a data enthusiast looking for financial flexibility and immediate access to your earnings? Apex Analytics Group is seeking a highly skilled Senior Data Analyst to join our dynamic team in Portland, Oregon. We pride ourselves on a modern, collaborative culture and offer industry-leading daily pay options, allowing you to access your hard-earned money as soon as you work it.


In this pivotal role, you will transform raw data into actionable insights that drive strategic business decisions. You will work closely with cross-functional teams to identify trends, build robust predictive models, and create intuitive dashboards that visualize complex datasets for stakeholders at all levels.


Why Join Us?

  • Competitive Salary: $75,000 - $95,000 base salary.
  • Daily Pay: Get paid the same day you work.
  • Modern Tech Stack: Work with the latest tools and cloud technologies.
  • Remote-Friendly Culture: Hybrid work options available in the Portland area.

Responsibilities

  • Extract, clean, and transform large datasets from various sources to ensure data integrity for analysis.
  • Develop and maintain interactive dashboards using Tableau and Power BI to monitor key performance indicators (KPIs).
  • Perform advanced statistical analysis and predictive modeling to forecast market trends and business outcomes.
  • Collaborate with product managers and engineering teams to define data requirements and technical specifications.
  • Communicate complex analytical findings to non-technical stakeholders in clear, concise, and compelling ways.
  • Identify process improvements and opportunities for automation to increase data efficiency.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Strong proficiency in SQL for querying databases and Python or R for data manipulation.
  • Experience creating data visualizations in Tableau, Power BI, or Looker.
  • Experience with ETL processes and data warehousing concepts (e.g., Snowflake, AWS Redshift).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

SQL Python Tableau Power BI Data Visualization ETL Statistical Analysis Data Warehousing Excel Predictive Modeling

Ready to Take This Challenge?

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

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