Job Description
Are you a data enthusiast looking for a flexible schedule that fits your lifestyle? We are seeking a highly skilled and analytical Senior Data Analyst to join our dynamic team in Seattle, WA.
At Apex Data Solutions, we believe that weekends are for rest, but we need dedicated professionals to ensure our data pipelines are running smoothly and our reporting is up-to-date. This unique role offers a competitive salary with the added benefit of working Friday through Sunday, giving you your entire week (Monday-Thursday) completely free to enjoy the Pacific Northwest.
Why Join Us?
- Great Pay: Competitive salary ranging from $85k to $115k depending on experience.
- Flexible Lifestyle: Work weekends, enjoy your week off.
- Growth: Work with cutting-edge data technologies and a collaborative environment.
We are looking for someone who can dive deep into complex datasets and translate them into actionable business insights. If you are detail-oriented and thrive in a high-performance team, we want to hear from you.
Responsibilities
- Design, develop, and maintain automated ETL pipelines and weekend reporting dashboards using Tableau and Power BI.
- Perform rigorous data cleansing, validation, and transformation to ensure data integrity and accuracy.
- Write complex SQL queries to extract and aggregate data from multiple databases and data warehouses.
- Analyze historical and real-time data to identify trends, anomalies, and opportunities for process improvement.
- Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical solutions.
- Present findings and recommendations to senior leadership in a clear, concise, and visually compelling manner.
- Document data processes and maintain up-to-date data governance standards.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related quantitative field.
- 3+ years of professional experience as a Data Analyst, with a preference for candidates comfortable working a weekend shift.
- Advanced proficiency in SQL (PostgreSQL, MySQL, or Snowflake) for data extraction and manipulation.
- Strong programming skills in Python or R for data analysis and scripting.
- Experience with data visualization tools, specifically Tableau or Power BI.
- Experience with statistical analysis methods and A/B testing frameworks.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.