Senior Data Analyst

6 days ago

Lahore, Punjab, Pakistan WADIC Full time $90,000 - $120,000 per year

Job Title: Senior Data Scientist – ELK Stack & Analytics

Location: College Road, Lahore

Job Type: Full-Time

Working Hours: 9:00 PM – 6:00 AM PKT

Department: Data & Analytics

Reports To: Data Analytics Manager

Job Overview: We are seeking a Senior Data Scientist with deep expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analysis. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You'll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.

Key Responsibilities:

  • Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.
  • Design and manage robust data pipelines using 
    Logstash
     and other ETL tools to feed into 
    Elasticsearch
    .
  • Build and maintain 
    Kibana dashboards
     for real-time visualization and analytics.
  • Analyze large-scale datasets to identify trends, anomalies, and actionable insights.
  • Write and optimize 
    complex MySQL queries
     to support deep-dive analysis and reporting needs.
  • Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.
  • Support development of machine learning models or predictive analytics where applicable.
  • Document processes, pipelines, and findings for knowledge sharing and reproducibility.
  • Mentor junior team members and contribute to data governance and quality initiatives.

Required Qualifications:

  • Master's degree in Data Science, Computer Science, Statistics, or related discipline.
  • Minimum 
    4 years
     of experience in data science, analytics, or a similar technical role.
  • Proven experience working with the 
    ELK Stack (Elasticsearch, Logstash, Kibana)
     in a production environment.
  • Advanced proficiency in 
    SQL
    , especially with 
    MySQL optimization
     for large and complex queries.
  • Experience in 
    Python
     or 
    R
     for data analysis and scripting.
  • Strong foundation in 
    data modeling
    , 
    ETL pipelines
    , and 
    data warehousing
    .
  • Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.

Preferred Skills:

  • Experience with 
    big data technologies
     (e.g., Apache Spark, Hadoop).
  • Familiarity with cloud platforms like 
    AWS
    , especially their data and log services is preferred
  • Knowledge of 
    machine learning
    , 
    predictive modeling
  • Domain experience in 
    finance
    , 
    healthcare
    , 
    e-commerce
    , or 
    SaaS
     environments is preferred but not required

Ready to lead cutting-edge analytics and log intelligence? Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.

Job Type: Full-time

Work Location: In person

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