products Syndicate relevant e-commerce data for retail partners Analyse data and performance of e-commerce customer Information (PII) Increase data collection across all touchpoints Ensure data is clean and managed in compliance optimise CRM data for marketing campaigns Segment data into audiences and enhance and refresh data constantly Experience: Relevant qualification or experience in Data Analytics/Process management. 5 years' experience
products Syndicate relevant e-commerce data for retail partners Analyse data and performance of e-commerce customer Information (PII) Increase data collection across all touchpoints Ensure data is clean and managed in compliance optimise CRM data for marketing campaigns Segment data into audiences and enhance and refresh data constantly Experience: Relevant qualification or experience in Data Analytics/Process management. 5 years' experience
dicate relevant e-commerce data for retail partners
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL software development ESSENTIAL SKILLS: Expertise in Data Intelligence and Business Intelligence Knowledge experience At least 3 years' experience building big data pipelines (ETL, SQL, etc) ADVANTAGEOUS TECHNICAL
passion for evaluating financial risks, analyzing data, and contributing to strategic decision-making? modelling to assess and manage financial risks. Data Analysis: Analyze large datasets to extract actionable presentations for stakeholders, translating complex data into understandable insights. Qualifications Bachelor's exemptions 2 – 5 years of experience Proficiency in data analysis, statistical and financial modelling If
passion for evaluating financial risks, analyzing data, and contributing to strategic decision-making? modelling to assess and manage financial risks. Data Analysis: Analyze large datasets to extract actionable presentations for stakeholders, translating complex data into understandable insights. Qualifications Bachelor's exemptions 2 – 5 years of experience Proficiency in data analysis, statistical and financial modelling If
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL Working Model (AWM) Charter ADVANTAGEOUS SKILLS Data and API Mining Knowledge on Security best practices setting up alerting pipelines. Be comfortable with Data Structures and Algorithms Understanding of integration Docker container creation and usage Familiar with data streaming services such as Apache Kafka Coordination Knowledge of Jira, Confluence and Agile methodologies Data Analysis ITSM knowledge User support ticket management
in Microsoft Excel for managing spreadsheets and data
knowledge of APIs, web services (SOAP, REST), and data formats (XML/JSON).
- Experience with programming
(AWS, Azure, Google Cloud).
- Knowledge of data integration and ETL tools.
- Familiarity with
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side