performance-tuning skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation More ❯
data pipelines and architectures on 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 with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data More ❯
data requirements, and define analytics 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 AWS for analysis. Apply advanced … statistical and machine learning techniques 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 engagement strategies. Collaborate with data … preferably in a cloud-based 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 learning techniques. 6.Proficiency in programming More ❯
data requirements, and define analytics 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 AWS for analysis. Apply advanced … statistical and machine learning techniques 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 engagement strategies. Collaborate with data … preferably in a cloud-based 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 learning techniques. 6.Proficiency in programming More ❯
data requirements, and define analytics 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 AWS for analysis. Apply advanced … statistical and machine learning techniques 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 engagement strategies. Collaborate with data … preferably in a cloud-based 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 learning techniques. 6.Proficiency in programming More ❯
solutions to support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and pattern analysis. Create dashboards and visualizations … for decision-making using Amazon QuickSight. Conduct exploratory data analysis to uncover insights for product and engagement improvements. Work with data engineers on data architecture, quality, and governance in AWS. … Requirements: Bachelor's or master's degree in a relevant field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services such as 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, or Scala. Experience with SQL More ❯
driven solutions that support business growth. Responsibilities Collaborate with teams to understand objectives, data needs, and analytics goals. Develop 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 segmentation analyses. Develop KPIs and dashboards using Amazon … Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. 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, or Scala. Experience with SQL More ❯
supporting business growth. Responsibilities: Collaborate 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, or Scala. Experience with SQL More ❯
supporting business growth. Responsibilities: Work 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 degree in 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, R, or Scala. Experience with More ❯
recommendations, shaping our data strategy and driving growth. Responsibilities: Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and … dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements … Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data More ❯
to support business growth. Responsibilities: 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, or Scala. Experience with SQL More ❯
to support business growth. Responsibilities 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 Scala. Experience with SQL, NoSQL More ❯
to social media opportunities. Responsibilities: Collaborate with teams to understand business objectives and define analytics goals. Develop data 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. Develop KPIs … and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS More ❯
growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement 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 More ❯
solutions that support business growth. Responsibilities: Collaborate with teams to understand objectives and define analytics goals. Develop data 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 pattern analyses. Develop KPIs … and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to uncover insights for product and user behavior improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist in cloud environments, especially AWS. Proficiency in AWS analytics tools More ❯
Coventry, Warwickshire, United Kingdom Hybrid / WFH Options
Sannik
from the model, with a focus on AWS S3 storage. • Collaborate with the development team to implement architectural changes and system tweaks. • Work with AWS services such as Lambda, EMR, and DynamoDB to optimize data management processes. • Utilize Spark for data processing and analysis tasks. • Ensure the integrity and security of data during the extraction and processing stages. • Troubleshoot … programming is essential. Strong understanding of cloud technologies, including AWS services such as S3, Lambda, and DynamoDB. Demonstrated experience with database management and backend development. Familiarity with tools like EMR and Spark for data processing. Ability to work independently and as part of a collaborative team. Excellent problem-solving and analytical skills. Prior experience in financial or mortgage industries More ❯
