Data Analyst Infosys

About Infosys

Job Description

You will be responsible for collecting, cleaning, and organizing large datasets from various sources. Your main tasks will include performing data analysis using statistical methods, machine learning techniques, and data visualization tools. You will need to identify patterns, trends, and anomalies within datasets to uncover valuable insights. Additionally, developing and maintaining data models representing the organization's business operations will be part of your role. Creating interactive dashboards and reports to effectively communicate data findings to stakeholders is also essential. Documenting data analysis procedures and findings will ensure knowledge transfer within the team. To excel in this position, you should have at least 5 years of experience as a Data Analyst or in a similar role. A proven track record of collecting, cleaning, analyzing, and interpreting large datasets is required. Expertise in pipeline designing and validation, as well as proficiency in statistical methods, machine learning techniques, and data mining techniques, will be crucial. Proficiency in SQL, Python, PySpark, Looker, Prometheus, Carbon, Clickhouse, Kafka, HDFS, and ELK stack is necessary. Experience with data visualization tools like Grafana and Looker is preferred. The ability to work both independently and as part of a team, along with strong problem-solving and analytical skills, will be valuable in extracting meaningful insights from data. Possessing a strong business acumen to understand the implications of data findings is also important. In this role, high analytical skills, a high degree of initiative and flexibility, customer orientation, and quality awareness are key attributes. Excellent verbal and written communication skills, logical thinking, problem-solving skills, and collaboration abilities are essential. Knowledge of two or three industry domains, an understanding of financial processes for various project types, familiarity with different pricing models, client interfacing skills, and knowledge of SDLC and agile methodologies are beneficial. Experience in project and team management will be an advantage. Your technical expertise should include proficiency in Python for big data analytics, Pentaho Reporting for reporting and analytics, Google Big Data on the cloud platform, and GCP Container services, specifically Google Container Registry (GCR).,