Data Analyst

Job Title: Data Analyst

Location:

Role Overview

Data Analyst

Key Responsibilities

• Analyze time-series and sensor data from various sources
• Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends.
• Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights.
• Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection).
• Prepare and clean datasets for analysis and modeling; ensure data quality and consistency.
• Work with stakeholders to understand reporting needs and deliver business-oriented outputs.

Qualifications & Required Skills

• Bachelors or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 5+ years of experience in a data analyst role, ideally in a technical/industrial domain.
• Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana).
• Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series).
• Proficiency in Python or R for data manipulation and exploratory analysis.
• Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis).
• Solid grasp of statistical analysis and anomaly detection methods.
• Experience working with data from industrial systems or large-scale physical infrastructure.

Good-to-Have Skills

• Domain experience in airports, smart infrastructure, transportation, or logistics.
• Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source).
• Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks.
• Basic understanding of AI/ML workflows and data preparation requirements.