as lean, JTBD, agile, and various prioritization techniques. Strong track record of delivering products with cross-functional teams in the enterprise software industry. Experience working with business intelligence tools, ETL platforms, databases, and/or data warehouses. Deep empathy with developers and a strong understanding of their needs. Excellent verbal and written communication skills, with the ability to present complex More ❯
as lean, JTBD, agile, and various prioritization techniques. Strong track record of delivering products with cross-functional teams in the enterprise software industry. Experience working with business intelligence tools, ETL platforms, databases, and/or data warehouses. Deep empathy with developers and a strong understanding of their needs. Excellent verbal and written communication skills, with the ability to present complex More ❯
Through the Amazon Marketplace, Amazon provides individuals or enterprises the opportunity to sell their goods on the Amazon platform. Worldwide, more than a million sellers use this Marketplace and thereby contribute to the success of Amazon. Are you interested in More ❯
travel internationally to support delivery of engagements and projects) Ideally, you'll also have some of the following: Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred What working at EY offers We offer a More ❯
elimination opportunities. 3. Drive process excellence initiatives, drive Kaizen events and work on new automation/solution building projects 4. Able to drill into large amounts of data andextract meaningful business metrics. 5. Perform data analysis on trends observed and recommend solutions to the product and Business teams 6. Collaborate with partner teams and stakeholders across the globe to … working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - Experience working in e-commerce/retail/supply chain More ❯
Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in AI systems • Excellent leadership, communication and stakeholder engagement skills Desirable: • TOGAF or other enterprise architecture certification • Experience deploying AI solutions at scale More ❯
in configuring associated infrastructure and ensure it is maintained in a timely, proactive manner. Identify system and process improvement opportunities. Carry out project work to leverage existing systems to extract maximum value and implement new functionality that fit in TM1 scope. This role requires working closely with the Group Finance team and your overseas counterpart, the Finance Systems Lead will … improve company processes around the implementation of TM1. Strong knowledge of TM1 Rules, Feeders and TI Processes using free hand coding (no wizards or Performance Modeler). Experience writing ETL processes using Turbo Integrator performing business rule mappings of relational data into dimensional model. What we offer: Advanced Microsoft Excel skills, having excellence in building management reports and an eye More ❯
PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. Implement data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
Develop customer segmentation, CLV and propensity models to inform targeting and promotions Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders Partner … 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) andETL 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/B and multivariate tests for More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Develop customer segmentation, CLV and propensity models to inform targeting and promotions Design and evaluate A/B tests and multivariate experiments on pricing, merchandising and UX Build automated ETL pipelines and maintain real-time dashboards (Tableau/Power BI) for sales, churn and engagement metrics Translate complex analyses into clear recommendations for marketing, e-commerce and executive stakeholders Partner … 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) andETL 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 ❯
creation, development, support and tuning. • Experience in managing multiple databases and instances in a cloud environment. • Experience in developing and remediating database views, functions, and stored procedures. • Experience in ETLand Analytics technologies (SSIS, SSAS, Click Replicate, Snowflake, Power BI) • Working for a medium size organisation in a period of rapid change. More ❯
and implement domain-specific data architectures and models, including conceptual, logical, and physical designs. Experience with data modelling tools and methodologies Expertise in designing and managing data integration pipelines, ETL processes, and data warehousing solutions. Hands-on experience with modern tools and platforms Solid experience with database management systems (e.g., SQL Server, Oracle, PostgreSQL) and cloud-based data platforms (e.g. More ❯
SQL and experience with data modelling tools like ER Studio, Power Designer, or similar. Ability to translate complex business needs into structured, efficient data models. Familiarity with data warehousing, ETL processes, and working in data warehouse environments. Experience in the cargo, logistics, or airline industry is a plus. Benefits: View to Extension Salary: Up to £450 Per Day More ❯
them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules More ❯
them into clear and concise business requirements to be built by the engineering team Create technical specifications, feed specifications, API specification and data models Experience in data migration, transformation, ETL processes and API’s Create as-is and to-be state dataflows using UML’s or data flow diagrams Create source to target mapping including transformation logic/business rules More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Cedar
reconciliation queries and data-related issues. Partner with internal teams (Finance, Data, Payments) and external processors. What You'll Bring Degree-level education and strong analytical skills. Experience with ETL tools (Alteryx), SQL, and Excel. Familiarity with reconciliation tools such as Accurate or EPM ARCs. Proactive mindset, attention to detail, and strong communication skills. Ability to work in a fast More ❯
retrospectives where needed. Key Skills 8+ years of experience as a Technical Business Analyst in complex, data-centric environments. Proven ability to write technical user stories for data pipelines, ETL processes, and analytics platforms. Strong understanding of data platforms, data lifecycle, and processing frameworks. Experience working with Solution Architects and engineering teams in technical environments. Demonstrable experience in delivery planning More ❯
to influence at executive level , translate business needs into scalable solutions, and guide high-performing architecture teams. Bonus: PMP, AWS/Azure certifications, ITIL, and experience with middleware/ETL tools like SAP CPI, Kafka, and Snowflake. Why Join Us? Be at the forefront of industry transformation in a globally respected financial institution. Work on strategic, business-critical programmes with More ❯
technology to drive successful outcomes. What Makes You a Great Fit Proven experience in product management within data, analytics, or business information services industries. Expertise in data warehouse strategies, ETL processes, and API integrations. Strong communication skills, with the ability to translate technical concepts into business language. A collaborative and analytical mindset, adept at managing multiple priorities in an agile More ❯
Intelligence. Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding of functional areas such as HR, Commercial, Finance and Logistics. Practical experience with ETL, data modelling, and dashboard/reporting development. Experience in leading product teams or data-focused project teams, with stakeholder engagement at all levels. Working knowledge of integration technologies and data More ❯
Python and Flask. You will work on building scalable, high-performance web applications with a focus on backend technologies. Besides that, you will develop and maintain complex data pipelines (ETL) that power YouGov core products. If you thrive in an environment that values collaboration and customer happiness above all, you'll find yourself at home on our team. Key Responsibilities … applications using Python, Flask, Cloud technologies, relational and NoSQL databases Design and implement RESTful APIs and integrate with third-party services Design, implement and maintain high-availability data pipelines (ETL) Break down complex problems and make informed decisions based on thorough analysis to create realistic estimates for engineering tasks Optimize applications for performance, reliability, security, maintainability, monitoring and scalability Define More ❯
Python and Flask. You will work on building scalable, high-performance web applications with a focus on backend technologies. Besides that, you will develop and maintain complex data pipelines (ETL) that power YouGov core products. If you thrive in an environment that values collaboration and customer happiness above all, you'll find yourself at home on our team. Key Responsibilities … applications using Python, Flask, Cloud technologies, relational and NoSQL databases Design and implement RESTful APIs and integrate with third-party services Design, implement and maintain high-availability data pipelines (ETL) Break down complex problems and make informed decisions based on thorough analysis to create realistic estimates for engineering tasks Optimize applications for performance, reliability, security, maintainability, monitoring and scalability Define More ❯
Experience crafting compelling Value-based proposals with compelling ROI Bonus Points For: Hands-on knowledge of Java, Python, JavaScript/NodeJS, SQL, or similar languages Experience working with databases, ETL tools, or data visualization/reporting platforms Previous experience with regulatory compliance, financial services, or enterprise architecture solutions Who You Are Naturally curious and technically sharp - you love solving problems More ❯
working with or in a London Market Insurance, Reinsurance or Services organisation. Excellent knowledge and understanding of operational IT services and delivery principles. Extensive experience in data integration andETL techniques. Extensive experience of the Microsoft database technology stack: SQL Server, T-SQL, SSIS, SSRS. Knowledge of a range of different architecture processes and frameworks. Familiarity with insurance processes, data More ❯
Science, Engineering, or equivalent work experience 3-5 years of product management with a focus on data engineering, analytics engineering, or developer tools Hands-on understanding of data architectures, ETL/ELT patterns, and data lakehouse concepts Excellent interpersonal and communication skills to grasp and articulate technical, financial, and conceptual ideas Strong project management, analytical, and prioritization skills Experience in More ❯