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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst - Weekly Pay - Seattle, WA

Apex Data Solutions
Seattle
Estimated Salary
USD 85.000 – USD 115.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Are you a detail-oriented Data Analyst looking for a position that values your time and offers consistent financial stability? Apex Data Solutions is currently seeking a talented professional to join our growing team in Seattle, Washington.

We specialize in leveraging data to drive strategic business decisions. As a key member of our analytics team, you will have the opportunity to work on high-impact projects, utilizing cutting-edge tools to uncover insights that shape our future. We pride ourselves on our transparent culture and our commitment to providing a seamless, high-converting experience for our employees.

Why join us?

  • Weekly Pay: Get paid every week for your hard work.
  • Competitive Compensation: Salary range of $85k - $115k depending on experience.
  • Modern Environment: Work with the latest technologies and agile methodologies.

We are looking for a candidate who is not just proficient in SQL and Python, but who can communicate complex findings to stakeholders with clarity and impact.

Responsibilities

  • Perform deep-dive statistical analysis to identify trends, patterns, and anomalies within large datasets.
  • Design, develop, and maintain interactive dashboards and reports using Tableau or Power BI.
  • Collaborate with cross-functional teams (Marketing, Sales, Operations) to define data requirements and solve business problems.
  • Build and optimize SQL queries and Python scripts to automate data extraction and reporting processes.
  • Ensure data accuracy, integrity, and consistency across all reporting systems.
  • Present complex data findings to non-technical audiences in a clear, actionable format.
  • Stay current with industry best practices in data analysis and visualization.

Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • 3+ years of professional experience as a Data Analyst or Data Scientist.
  • Advanced proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python (Pandas, NumPy).
  • Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Experience with data warehousing concepts and ETL processes.
  • Excellent written and verbal communication skills for stakeholder management.
  • Proven ability to translate business requirements into technical data solutions.

Required Skills

SQL Python Tableau Power BI Data Analysis Statistics Excel Data Visualization

Ready to Take This Challenge?

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