Consultants (Information & Communication Technology) Full time Data & Analytics Consultant is to transform data into critical information and knowledge that can be used to make sound business decisions and is also responsible for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data.
This role is required to have seasoned technical specialist proficiency in extracting and modelling data, generating data models, visual analytics and dashboards.
What you'll be doingKey Responsibilities:Work as a team to deliver modern data solutions:
Implementation of modern data platformsElicit and document business requirementsTesting and defect resolutionProduction supportDocumentationConduct Data Engineering and Data Migration Activities:
Deliver tactical solutions as part of data platform build and data migration activities:ETL buildsPipelinesAzure componentsWork with complex models and large volumes of data:
Build an understanding of data models of varying complexity across a range of industriesWork with data models across different technology stacksDevelop Power BI dashboards and semantic models:
Build high quality Power BI Semantic models, including efficient data transformations in Power Query and SQLDesign, develop and implement interactive and effective visualizationsDemonstrate consultative skills:
Excellent communication and interpersonal skillsCreative and conceptual thinkingUnderstand and dynamically apply the data lifecycleDemonstrated ability as a team playerWhat would make you a good fit for the roleAcross the business, the standout common characteristics across our teams is that we're approachable, supportive and have a can-do attitude.
In addition to this, you will be a good fit for the role if you bring:
3+ years working as a BI Engineer or technical BI AnalystExperience with some or all of the following tools:Azure Data Components (ADF, SQL, Synapse, Fabric)Power BIDatabricksMS BI Stack (SSMS, SSAS, SSIS, SSRS)MS Power AppsProficient understanding of business intelligence and data warehousing conceptsPerform and execute data analysis and data modellingProven ability to translate business requirements into effective technical designAcademic Qualifications and Certifications: Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred. #J-18808-Ljbffr