Data Analyst

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
Two or three industry domain knowledge
Understanding of the financial processes for various types of projects and the various pricing models
available
Knowledge of SDLC and agile methodologies
Project and Team management