Address • 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
• 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
• 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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