Job Description
We are looking for a skilled Data Analyst to join our dynamic team in Portland, Oregon. This role offers a unique weekend shift schedule, providing an excellent work-life balance while you dive deep into complex data sets and drive strategic decision-making.
About the Role:
As a Data Analyst, you will be the bridge between our raw data and actionable business insights. You will work independently during the weekend to ensure our reporting infrastructure remains robust and up-to-date, allowing our team to focus on core operations during the week.
Why You Should Apply:
- Competitive salary range ($70k - $95k).
- Full benefits package including health, dental, and vision.
- Flexible weekend schedule (Saturday/Sunday or Friday/Saturday).
- Modern office located in the heart of Downtown Portland.
Key Responsibilities:
Responsibilities
- Extract, clean, and transform raw data from multiple sources into structured datasets using SQL and Python.
- Design and develop complex data models to support business intelligence and reporting needs.
- Perform statistical analysis and trend identification to provide actionable recommendations.
- Create interactive dashboards and visual reports in Tableau or Power BI for executive stakeholders.
- Monitor data quality and integrity across systems and identify areas for improvement.
- Collaborate with product managers and engineers to define data requirements and schema.
- Document data processes and analytical methodologies for team reference.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, or a related quantitative field.
- 2+ years of professional experience in data analysis or a related role.
- Strong proficiency in SQL for database querying and manipulation.
- Experience with programming languages such as Python or R.
- Familiarity with data visualization tools like Tableau, Looker, or Power BI.
- Excellent problem-solving skills and attention to detail.
- Ability to work autonomously and meet deadlines during the designated weekend shift.