industry! - You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement. A day in the life Finding insight More ❯
to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security, interoperability, and More ❯
which all pose different analytical challenges. - You work with some of the best tech in the industry, such as powerful Python instances for data analysis and machine learning and Redshift for data warehousing. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can implement. - You work in a wider cross More ❯
Business Intelligence Engineer , Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the … billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you'll partner closely with Product Managers, Data … Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and More ❯
Business Intelligence Engineer, APAC Retail BI Amazon has an exciting opportunity for a Business Intelligence Engineer to join our online retail team. The Retail team operates as a merchant in Amazon, owning functions like merchandising, marketing, inventory management, vendor management, and program management. In this pivotal role, you'll support these functions with business intelligence derived from our … vast data resources, contributing to the long-term growth and success of Amazon in the APAC region. You will collaborate with stakeholders from Pricing Program to contribute to Amazon's pricing strategies, partner with vendor and inventory managers to improve product cost structures, and support the marketing team in developing strategies using large volumes of complex data. Responsibilities … is primarily focused on analysis, reporting, new development, and strategic projects to improve BI & Analytics capabilities at Amazon. BASIC QUALIFICATIONS 2+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Proficiency with industry analytics tools and statistical methods (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI; t More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling … SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling … SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ years in retail/FMCG customer insights and analytics Built customer segmentation, CLV, and propensity models in Python/R Designed and analysed A/ More ❯
driven initiatives. Ideal Skills & Capabilities Proficiency in a programming language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI … driven initiatives. Ideal Skills & Capabilities Proficiency in a programming language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI More ❯
or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fynity
Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯
Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯
using a combination of Talend Data Studio, Stitch Data Replication, and SQL. Own development of automation to enable near real time data availability within datasets and data lake (AWS Redshift and AWS S3). Own initial development of datasets from the data lake to enable surfacing topical data with light normalization to end users. Ensure methodology used is compliant More ❯
Data Operations Manager. Duration 6 months We are seeking a dynamic and driven Data Operations Manager to lead a team of data engineers. You will oversee the daily operations of our data infrastructure and ensure the accuracy, availability, and security More ❯
Data Operations Manager. Duration 6 months We are seeking a dynamic and driven Data Operations Manager to lead a team of data engineers. You will oversee the daily operations of our data infrastructure and ensure the accuracy, availability, and security More ❯
Data Prodict Manager: We are seeking a dynamic and driven Data Operations Manager to lead a team of data engineers. You will oversee the daily operations of our data infrastructure and ensure the accuracy, availability, and security of data across More ❯
Job ID: Amazon EU SARL (Netherlands Branch) Amazon Web Services is seeking an enterprise technical sales representative to deliver value for customers via AWS's analytics solutions. As a sales specialist for this fast growing, exciting space you will have the opportunity to help drive the growth and shape the future of emerging technologies that will have an … to help customers achieve these desired outcomes by partnering with AWS. You will educate customers on "art of the possible" success stories and AWS enablers including our data warehousing (AmazonRedshift), data lake (Amazon Lake Formation), BigData processing (Amazon EMR), search (Amazon Open Search Service), ETL (Amazon Glue), streaming (Amazon Kinesis and Amazon … Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports. - Create & articulate compelling value propositions around AWS analytics services. - Accelerate customer adoption of Amazon analytics services. - Maintain a robust sales pipeline leveraging sales force automation tools and best practices - Work with partners to extend reach & drive adoption. - Develop long-term strategic relationships with More ❯
credit risk areas, supplementing these with top analytical tools that allow for a deep-dive. Our tech stack includes some of the best in the industry, SQL (currently on AmazonRedshift), dbt, Tableau and Python. A day in the life Play a key role in building, optimising and innovating existing processes, setting the standard for MI and data More ❯
the Snr Product Analytics Manager, you will play a crucial role in driving data insights and enabling evidence-based decision making across our organization. Utilize advanced SQL, Metabase, and Redshift to extract, transform, and analyze data from various sources to uncover actionable insights and drive business growth. Collaborate with cross-functional teams, including product managers and squads, to understand … Proven experience in product analytics, data analysis, or a related field. Strong proficiency in SQL and experience with data visualization tools such as Metabase/Tableau etc Familiarity with Redshift or other similar data warehousing technologies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication and collaboration skills, with the ability to More ❯
or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with More ❯
or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with More ❯
functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯
functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯
experience. Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs More ❯
nearby) and can maintain the 16:00-20:00 UK overlap. Bonus Points Experience selling data warehousing, analytics, or developer tooling. SQL basics or previous work with Snowflake, BigQuery, Redshift, or Databricks. More ❯
performance Identify optimisation opportunities across the entire user lifecycle, from acquisition through retention and monetisation Skills & Experience Required Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A More ❯