Data Analyst

1 week ago

Kazhakuttam Kerala, India Prophaze Technologies Full time ₹ 4,95,000 - ₹ 6,60,000 per year

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, ₹55,000.00 per month

Benefits:

  • Health insurance
  • Provident Fund

Experience:

  • Data analytics: 3 years (Required)

Work Location: In person

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