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Responsibilities
Collect, process, and perform statistical analysis of dataDevelop models and algorithms for decision-makingCollaborate with cross-functional teams to develop actionable insightsParticipate in key business projects, conducting research to drive analytical insightsPerform data profiling, integration, and validation tasksCreate and maintain complex ETL pipelinesInvestigate data anomalies and provide recommendations to the team
Requirements
Proven experience (6+ years) working as a data analyst, data engineer, or in a similar roleKnowledge of data visualization and reporting tools Power BI is a must.Experience with SQL, Python, and PerlDeep understanding of data warehousing concepts and practicesFamiliarity with frameworks and libraries for machine learning and artificial intelligenceProven experience working with large data sets and distributed computing (e.g., Hadoop, Spark)Looking for candidates preferably from finance or Insuarance background
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