onsite
Senior Data Analyst - Stride, Inc.
Data Analyst
Lead complex, open‑ended analytics projects, turning ambiguous business questions into rigorous, data‑driven insights. Partner with research, data science, and business teams to deliver actionable recommendations using Python, SQL, and Tableau.
About the role
Key Responsibilities
- Design and execute advanced analytical studies that support strategic business and research decisions.
- Translate vague stakeholder questions into clear, testable hypotheses and robust data pipelines.
- Develop, validate, and maintain statistical models and predictive algorithms using Python and SQL.
- Create interactive dashboards and visualizations in Tableau to communicate findings to non‑technical audiences.
- Collaborate closely with data science, research, and product teams to ensure analytical rigor and alignment with business goals.
- Mentor junior analysts, promote best practices, and drive continuous improvement of analytical processes.
Requirements
- 5+ years of professional experience in data analysis, business intelligence, or a related field.
- Strong proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data extraction and manipulation.
- Demonstrated expertise in statistical modeling, hypothesis testing, and experimental design.
- Advanced data visualization skills with Tableau (or comparable tools) and the ability to convey complex insights clearly.
- Excellent communication and stakeholder management skills, with a track record of influencing decisions through data‑driven storytelling.