Data Analyst

About us

Mantis Analytics is an AI-driven threat intelligence and situation awareness platform. We provide organizations reliable and actionable data for both physical and informational risk management, enriched with deep intelligence.

We are seeking a Data Analyst who is curious, detail-oriented, and passionate about transforming data into meaningful insights. In this role, you will work closely with our intelligence and engineering teams to analyze vast datasets, identify trends, and generate reports that inform high-stakes security decisions.

Key Responsibilities:

• Data Analysis & Reporting:
• Clean and analyze large datasets to identify trends, patterns, and actionable insights.
• Develop and maintain interactive dashboards and report.
• Present insights and actionable recommendations to stakeholders.
• Machine Learning Collaboration:
• Work with ML engineers to support model development, validation, and deployment.
• Apply foundational machine learning techniques to enhance data analysis where applicable
• Business Impact:
• Translate business questions into analytical problems and propose data-driven solutions..
• Continuous Improvement:
• Stay updated on industry trends in data analysis and ML tools/techniques.
• Contribute to improving data quality.

Qualifications:

• Experience:
• 2+ years of professional experience in data analysis.
• Exposure to ML concepts (supervised/unsupervised learning) through coursework, projects, or work experience.
• Technical Skills:
• Proficiency in SQL for data querying and manipulation.
• Experience with Python (Pandas, Polars, NumPy).
• Familiarity with ML frameworks (e.g., PyTorch, scikit-learn).
• Understanding of statistical analysis.
• Knowledge of cloud platforms (AWS, Azure, preferable is Google Cloud).
• Experience with version control (e.g., Git).

Preferred Qualifications (Bonus):

• Experience with Apache Spark, Trino.
• Familiarity with NLP, time-series analysis, or traffic analysis and route planning.
• Practical experience with machine learning model development or deployment.
• Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.