Responsibilities
• Collect, clean, and organize large datasets from various sources
• Perform data analysis using statistical methods, machine learning techniques, and data visualization tools
• Identify patterns, trends, and anomalies within datasets to uncover insights
• Develop and maintain data models to represent the organization's business operations
• Create interactive dashboards and reports to communicate data findings to stakeholders
• Document data analysis procedures and findings to ensure knowledge transfer
Technical and Professional Requirements:
• • 5+ years of experience as a Data Analyst or similar role.
• Proven track record of collecting, cleaning, analyzing, and interpreting large datasets
• Expertise in Pipeline designing and Validation
• Expertise in statistical methods, machine learning techniques, and data mining techniques
• Proficiency in SQL, Python, PySpark, Looker, Prometheus, Carbon, Clickhouse, Kafka, HDFS and ELK stack (Elasticsearch, Logstash, and Kibana)
• Experience with data visualization tools such as Grafana and Looker
• Ability to work independently and as part of a team
• Problem-solving and analytical skills to extract meaningful insights from data
• Strong business acumen to understand the implications of data findings