Data Analyst

Overview

Job Title: Data Analyst

Location: Trivandrum
Experience Level: 3 - 5 years

About the Role

We are looking for a Data Analyst with strong analytical skills and a keen interest in web infrastructure and behavioural analytics to support the development of an ML-based anomaly detection system for NGINX server logs.

You will play a critical role in extracting domain knowledge from raw logs, identifying behaviour patterns, anomalies, and translating these into insightful features that inform our ML engineers and are used for real-time dashboards.

This is not just a reporting role — you will work alongside AI engineers and data engineers to shape how raw data is interpreted and transformed for machine learning and operational use.

Key Responsibilities

Domain Behaviour Analysis:

• Analyse large volumes of log data to identify user behaviour patterns, anomalies, and security events.
• Interpret fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights.

Feature Engineering Support:

• Collaborate with AI engineers to propose relevant features based on log behaviour and traffic patterns (e.g., burst patterns, unusual request headers, request frequency shifts).
• Validate engineered features against behavioural patterns and business context.
• Conduct exploratory data analysis (EDA) to evaluate feature quality and distribution.

Data Visualization & Dashboards:

• Develop data visualizations to represent time-series trends, geo-distributions, traffic behaviour, etc...
• Collaborate with the frontend/dashboard team to define and test visual requirements and anomaly indicators.
• Help surface visual insights on anomalies and their severity for analyst consumption.

Data Quality & Validation:

• Identify and address gaps, inconsistencies, and errors in raw logs.
• Ensure feature logic aligns with real-world HTTP behaviour and use cases.
• Documentation & Knowledge Sharing:
• Create documentation that explains observed behavioural patterns, feature assumptions, and traffic insights for use by the wider ML and security team.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field.
• 2+ years of experience in data analysis or analytics roles.
• Proficiency in:
• SQL, Elasticsearch queries (DSL or Kibana),
• Python for data analysis (pandas, matplotlib, seaborn, plotly)
• Experience working with web server logs (NGINX, Apache) or structured event data.
• Strong analytical thinking — ability to break down complex log behaviour into patterns and outliers.

Nice to Have

• Familiarity with web security concepts (DDoS, bot detection, HTTP protocol).
• Experience with log analytics platforms (Kibana, Grafana, ELK Stack).
• Understanding of feature engineering concepts in ML pipelines.
• Experience working on or with anomaly detection or security analytics systems.

Job Type: Full-time

Pay: ₹40,000.00 - ₹55,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Experience:

• Data analytics: 3 years (Required)

Work Location: In person