Identify ways of presenting and analysing data to improve customer and user experience as well as identify identify ways to improve operational excellence. Provide post implementation support where required. Work extensively Continuous enhancement and optimisation of the existing data model. List of Key Result Areas: Elicit and understand
List of Key Result A
Skills
revenue operations and CRM platforms and structure data flows, as well as owning the nurture and email sequences Management Creating a data cleanness structure Restructuring and setting up an optimised data structure within Creation and Management - Take ownership of the data and key data systems and providing support to relevant relevant departments and stakeholders with creating custom reporting that can be automated and shared throughout and/or API's that are needed to source the relevant data Own means of reliable transportation Ability to
a view of how to migrate to Data Lake architecture as the quantity of data scales. Required to lead the for optimal performance. Ensure data security, scalability, and data integrity within all processes and software design to meet specifications. Streamline data import and integration processes Advise on areas Experience working with Data Lake architecture beneficial. Skilled in importing data from various sources clearly document and execute processes relating to data setup, technical roadmaps for clients and solution
processes by collecting, analysing, and reporting of data to the various business departments. Job Responsibilities: Responsibilities: Create written reports and/or data visualisations that business stakeholders can use to monitor business productivity Encourage and maintain a “customer service” philosophy within the BI team with business across business KPIs Collect, sort, filter, analyse data and interpret the results to look for patterns and ySQL R / Python Expert capability in Microsoft Excel Knowledge of business processes and functional areas
responsible for developing and maintaining data solutions, performing data analysis, and providing insights to Responsibilities: Design, develop, and maintain data solutions using Azure Synapse, SSIS, SSRS, SSAS SSAS, and Power BI. Handling the delivery of data and information relating to the business intelligence of Power BI. Designing, developing and maintaining data warehouse and analytics architecture to meet clients' large datasets. Experience with data modelling and data warehousing. Excellent communication and collaboration
synchronization and alignment of data within operational systems.
functional requirements Identify requirements via data flow modeling, workflow analysis, and functional documentation or procedures Uunderstand business issues / data challenges Analytical and product management skills processes proficiency Excellent communication skills, both spoken and written Excellent problem- solving skills
JOb Functions