16 of 16 Dimensional Modelling Jobs in the South East

record of performing complex data analyses with large data volumes An expert in reporting and dashboarding Working knowledge of Data Warehousing Design Methodologies, including dimensional modelling concepts. More experienced candidates will hold experience in dimensional modelling and demonstrate proficiency in at least one scripting language Extensive More ❯

Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience in dimensional modelling and formal database design. A good understanding of data governance, quality, and security principles. Ability to work both independently and collaboratively, with More ❯

and emerging technologies, including data integration, data warehousing and advanced analytics platforms, with the ability to assess and recommend appropriate solutions. Strong knowledge of dimensional modelling techniques, including Kimball¿s Business Dimensional Lifecycle, with the ability to provide oversight and guidance in applying these concepts effectively. Demonstrated More ❯

business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure More ❯

data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service … Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and More ❯

Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent role for a More ❯

skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding or interest in programming languages such as Python. Exposure to working with CRM/ERP systems. More ❯

experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong understanding and or use More ❯

opportunities to travel if required Required Skills and Experience Educated to degree level Demonstrated analytical and troubleshooting skills A background in financial/multi-dimensional modelling within an FP&A or Analyst team or with a Consulting background desirable High proficiency to understand and interrogate complex business data More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

is a plus Strong knowledge of modern data stack tools, including Airbyte, dbt (MUST HAVE), Snowflake, and cloud platforms like AWS. Familiarity with data modelling concepts and warehousing best practices, including dimensional modelling. Experience delivering data solutions using software engineering principles, including version control (GitHub). A proactive More ❯

with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven … Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical More ❯

years of experience using QlikView version 11 or higher with proven experience in the following areas: Good knowledge of SQL, relational databases, and Dimensional Modeling Working with large data sets & experience with complex data models involving more than 10 tables Integrating data from multiple data sources into a QlikView … Data Model, Social Media content, API extensions, etc. Use of complex QlikView functions and developing optimal scripts for a given solution Optimization of Dimensional data model for performance. Primary Responsibilities Will Include: Using technologies such as QlikView and NPrinting to create and provide the business areas with new reporting More ❯

new ways of working, delivery models, and technological advancements. The ideal candidate needs: Ability to communicate complex technical concepts to stakeholders. Experience with data modelling, integrations, and business processes. Lead development of multi-dimensional models on the Oracle EPM platform, including configuration and optimisation. Proficient in understanding complex More ❯