structures and develops long term sustainable data models. Collaborate with business stakeholders to understand design effective BI solutions. Design and develop data models to support reporting and analytics. Create and and maintain logical and physical data models for BI applications. Develop Extract, Transform, Load (ETL) confidentiality. Document BI solutions, including data models, ETL processes, and report specifications. Create in handling heterogeneous data sources. Experience with Warehouse modeling, analytics and ETL (Extract
design of data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
architecture and requirements collaboratively. Craft data models and schemas tailored to meet business objectives data architecture principles. Expertise in data modelling and database design. Understanding of data
analytical person with a knack for data analysis. Involving manipulation, modelling and being responsible for statistical methods to prepare data for use in prescriptive modelling. Automate work by using process own data Technical Skills / Expertise Data analysis, modelling and surfacing Data cleaning / Integrity
Skill -Task Management -Adobe Creative Suite -Data modelling and evaluation -Computer Technology Skills
in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming and statistical
in Business Intelligence/Data Analytics/Data Science/Modelling/Statistics Programming and statistical
analyses; feature engineering, data preparation, development of statistical models, strategy development, monitoring
analyses; feature engineering, data preparation, development of statistical models, strategy development, monitoring
A very cool role is available at a business that focuses on data from the world of online gaming. This role is a comnination of SQL Developer and Data Engineer - you need to have proven full stack SQL experience but also the ability to build data pipelines, you need Azure DevOps experience as well.