Job Description
Join DataDriven Insights as a Part-Time Data Analyst and transform raw data into strategic business intelligence. We're seeking a detail-oriented professional to uncover actionable insights that drive growth and innovation. This flexible role (20-25 hours/week) offers remote work options with occasional in-person collaboration in our vibrant Seattle office. Perfect for experienced analysts seeking work-life balance while making measurable impact.
You'll work with our cross-functional teams to optimize processes, identify market opportunities, and present compelling data stories to leadership. We value curiosity, precision, and the ability to communicate complex findings clearly to non-technical stakeholders. If you thrive in a collaborative environment where your analytical skills directly influence business decisions, this opportunity is for you.
Responsibilities
- Design and implement automated data pipelines using SQL and Python to ensure data integrity and accessibility
- Create dynamic dashboards and visualizations in Tableau/Power BI to track KPIs and performance metrics
- Conduct statistical analysis to identify trends, anomalies, and growth opportunities across business functions
- Collaborate with product and marketing teams to convert data insights into actionable recommendations
- Develop ad-hoc reports for executive stakeholders, translating complex data into clear business narratives
- Optimize data collection processes and maintain documentation for analysis methodologies
- Stay current with industry trends to propose innovative analytical approaches
Qualifications
- Bachelor's degree in Statistics, Computer Science, Economics, or related quantitative field
- 3+ years of professional data analysis experience with demonstrated portfolio of projects
- Expert proficiency in SQL and experience with relational databases (PostgreSQL, MySQL)
- Advanced skills in data visualization tools (Tableau, Power BI, or Looker)
- Strong Python/R programming experience with libraries (Pandas, NumPy, SciPy)
- Experience with statistical analysis techniques and A/B testing methodologies
- Excellent communication skills with ability to present complex insights to non-technical audiences
- Ability to work independently with minimal supervision while meeting deadlines