Job description

  • 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
  • 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
  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills
  • Logical thinking and problem solving skills along with an ability to collaborate
  • Two or three industry domain knowledge
  • Understanding of the financial processes for various types of projects and the various pricing models available
  • Client Interfacing skills
  • Knowledge of SDLC and agile methodologies
  • Project and Team management

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