goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, AmazonEMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into … to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, AmazonEMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine More ❯
goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, AmazonEMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into … to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, AmazonEMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine More ❯
the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Key Skills … AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience More ❯
with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. Identify … key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in … Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R More ❯
with teams to understand objectives, data needs, and analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's … Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python More ❯
Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. … Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance improvements. Requirements: Bachelor's or master's degree in … Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R More ❯
Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. … Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in … Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or More ❯
