1 to 25 of 57 Remote Dimensional Modelling Jobs

small team of skilled Data Analysts At least 5 years’ experience in a Senior Data Analyst/Data Scientist role Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred More ❯

Microsoft BI tools with Tableau, Amazon QuickSight , or similar platforms Understanding of REST APIs , Power BI Embedded , and programmatic data access patterns Data Engineering & Modelling Strong T-SQL skills for data retrieval and performance tuning Knowledge of dimensional modelling , star/snowflake schemas , and data warehouse best 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 ❯

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 ❯

Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling. Strong analytical skills and a technical aptitude. Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills in More ❯

defining/redefining metric tickets, implementation logic, data mapping, related tasks creation and estimations. A strong actioner of data standards for ETL purposes , data modelling, best practices and strive for its implementation . Required Skills/Experience Should be strong in Azure data services like ADF, Synapse, SQL, ADB … Should be strong in ADF pipeline development, data orchestration techniques, monitoring and troubleshooting Should be strong in stored procedure development. Good knowledge in data modelling (dimensional) and Power BI reporting. Job Responsibilities/Objectives Analyse raw data (mostly in Json format ) for data parsing, schema evolution, data transformation … development and deployment. Closely work with analysts , data scientists to understand the business requirements, data sources and logic for metric development. Create normalised/dimensional data models based on the requirement. Translated and refine the notebooks and logics developed as part of prototype Transform data from landing/staging More ❯

strategies, data quality analysis, issue resolution, unit testing, and release management. Conduct data profiling and analysis to assess data quality, consistency, and integrity, leveraging dimensional modeling techniques where appropriate. Create and maintain data mapping documents to support ETL processes and data integration efforts to ensure clarity and consistency. Responsible 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 ❯

relationships with key data creators, data owners and data consumers. Ensure data assets are properly defined and maintained within a central data catalogue. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Take ownership of data issues through to … easily understood and used. Locate and define new data-related process improvement opportunities. Skills and Experience: Essential: • Experience managing/leading a team. • Data modelling, cleansing and enrichment, with experience in conceptual, logical, and physical data modelling. • Familiarity with data warehouses and analytical data structures. • Experience of data quality … software. • Knowledge of Orchestration Tools and processes (e.g SSIS, Data Factory, Alteryx) • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake More ❯

This is a remote-first role with occasional travel to West London, and sits outside IR35 . You'll lead data analysis, profiling, and modelling activities, working across Finance and HR data domains. The role involves developing logical and physical data models, supporting dimensional modelling for reporting … and ensuring consistency across architecture and governance. Key skills: Proven experience in finance data warehouse implementations Data modelling tools (e.g. Erwin, Sparx EA) Strong SQL, data profiling, and reporting capabilities Cloud experience with AWS, Snowflake, and Power BI/Tableau Familiarity with Oracle, Workday, and enterprise HR systems This 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 ❯

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 ❯

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 ❯

Collaborating with analytics and data scientists to understand their needs and build models that drive insights and decision making Champion best practices for data modelling, transformation, and governance, in your immediate time and across the business Consult on our evolving data platform, advising on the tooling, infrastructure and practices … efficient and well structured queries Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices Strong understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or More ❯

concepts. Knowledge of agile methodologies and use of the Rally application Working knowledge of creation of Entity Relationship Diagrams and Data flow diagrams and Dimensional modelling. Working knowledge of Exploratory data analysis techniques Working knowledge of Quality Center Working Knowledge: Understands basic principles and terminology in order to understand More ❯

the business to build relationships and act as a multiplier. What we look for in you Understand, assess and effectively apply modern data architectures (dimensional model, data mesh, data lake). Experience in applying and using data observability methods effectively. Experience in modern software development practices (agile, CI/ More ❯

performance, cloud architecture, and scalable integration. This role sits at the heart of operational performance, enabling data-driven decisions through robust data pipelines, smart modelling, and seamless integrations. You'll play a critical part in modernising and scaling the data estate across multiple cloud-native tools and platforms. What … Build and optimise ETL/ELT pipelines across structured and unstructured data sources using Airbyte , Airflow , DBT Core , and AWS Glue Design and maintain dimensional models in Snowflake , including SCDs and best practices for indexing, clustering, and performance Collaborate cross-functionally with analysts and business teams to support Power … and audit-friendly data structures What We're Looking For: Strong understanding of Enterprise Data Warehousing (EDW) with hands-on experience in Kimball-style modelling Expert-level SQL skills for complex transformation and query tuning Deep knowledge of Snowflake including optimisation, cost management, and architecture Experience with modern data More ❯

test resources. Data Modeling tools experience (ER Studio) is a must Having data governance experience is great and highly recommended. Experience in relational/dimensional modeling is a must as these are the databases we use day-to-day. Good Experience of using Microsoft suite like Excel/Word 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 ❯

designs. Ensure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies. Analyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation. Develop and update Physical Data Models (PDMS) and participate … with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data More ❯