Job Description
Are you a detail-oriented professional seeking the flexibility of a daily pay model? Apex Analytics is currently hiring a Data Analyst to join our growing team in Portland, Oregon. In this role, you will transform raw data into actionable insights that drive business strategy. We offer a competitive hourly rate and the assurance of daily pay for our contractors, ensuring financial stability while you work.
Why Join Us?
- Daily Pay: Get paid every day for your hard work.
- Modern Tech Stack: Work with the latest tools in data visualization and SQL.
- Remote/Hybrid Options: Flexible work arrangements available in the Portland metro area.
- Professional Growth: Mentorship from senior data scientists and access to industry-leading training.
Apex Analytics is committed to diversity and inclusion. We encourage candidates from all backgrounds to apply.
Responsibilities
- Extract, clean, and transform large datasets from multiple sources using SQL and Python to ensure data integrity.
- Design and develop interactive dashboards and visualizations using Tableau or Power BI to track key performance indicators (KPIs).
- Perform statistical analysis to identify trends, patterns, and anomalies in business data.
- Collaborate with cross-functional stakeholders to define data requirements and deliver reports that drive decision-making.
- Automate reporting processes to increase efficiency and reduce manual errors.
- Document data pipelines and analytical methodologies to ensure transparency and reproducibility.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
- 3+ years of experience in data analysis, business intelligence, or a similar analytical role.
- Strong proficiency in SQL (PostgreSQL, MySQL) for querying and manipulating data.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent problem-solving skills and the ability to communicate complex data concepts to non-technical audiences.
- Experience with Python or R for data analysis is a plus.