Data Analyst - Hybrid(1d/w)

- Perform exploratory data analysis (EDA) on large, complex spatiotemporal datasets.
- Identify, analyze, and interpret trends and patterns to answer business questions.
- Develop and implement analytical models and logic to address specific needs, such as device grouping and behavior-based anomaly detection.
- Evaluate and choose the most appropriate analytical technique for each task.
- Collaborate with engineering teams to integrate analytical solutions into our products.
- Prepare reports and data visualizations to communicate findings to the team.

Required Qualifications:
- Bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, or a related discipline.
- 2+ years of professional experience in a data analyst or similar quantitative role.
- Strong proficiency in Python and its core data analysis libraries (Pandas, NumPy, Scikit-learn).
- Advanced proficiency in SQL.
- Proven experience working with time-series data.
- A practical problem-solving mindset with a demonstrated ability to select the simplest, most effective solution.
- Strong analytical skills with high attention to detail and accuracy

Preferred Qualifications:
- Experience with data visualization libraries (e.g., Plotly, Seaborn) or tools (e.g., Tableau).
- Familiarity with analyzing geospatial data.
- Prior work experience in the cybersecurity industry.

- Receive 100% salary from the onboarding date.
- Participate in company activities: quarterly team building, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.