Data Analyst/ Data Scientist

2 weeks ago

Lahore, Punjab, Pakistan WADIC Full time
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.


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