organisation to migrate to later versions. Exposure and high-level understanding of the SSAS and MDX language (although the organisation currently does not use OLAP). Good exposure to PowerBI and advance knowledge of DAX (query language) and data modelling using this tool. Good working knowledge of Excel capability, use More ❯
Power Designer, SQLDBM or Sparx EA. Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLTP and OLAP databases. Minimum 5 years experience with reporting tools: Power BI, Business Objects, Tableau or OBI. Understanding of Master Data Management technology landscape, processes and design More ❯
Visio). Experience with database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL). Familiarity with data warehousing concepts and technologies (e.g., ETL processes, OLAP). Proficient in SQL, Excel, and data visualization tools (e.g., Power BI). Understanding of data governance, data quality, and data management best practices. Proficiency More ❯
Visio). Experience with database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL). Familiarity with data warehousing concepts and technologies (e.g., ETL processes, OLAP). Proficient in SQL, Excel, and data visualization tools (e.g., Power BI). Understanding of data governance, data quality, and data management best practices. Proficiency More ❯
Senior BI Analyst duties include: Design, develop, and maintain reports, dashboards, and visualisations across multiple platforms, including Power BI, Snowflake, SSRS, and Excel. Maintain OLAP cubes, Power Platform datasets, data gateways, pipelines, and SQL data warehouses. Build and manage ETL processes from internal and external data sources using SSMS and More ❯
Skills: Experience with Planning Analytics (latest version of TM1) SQL & Power BI knowledge Background in management reporting & budgeting (Finance industry experience preferred) Understanding of OLAP technologies & system development life cycle Randstad Technologies is acting as an Employment Business in relation to this vacancy. More ❯
Visio). Experience with database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL). Familiarity with data warehousing concepts and technologies (e.g., ETL processes, OLAP). Understanding of data governance, data quality, and data management best practices. Proficiency in SQL and ability to write complex queries for data extraction and More ❯
Visio). Experience with database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL). Familiarity with data warehousing concepts and technologies (e.g., ETL processes, OLAP). Understanding of data governance, data quality, and data management best practices. Proficiency in SQL and ability to write complex queries for data extraction and More ❯
and Experience Proven experience as a Data Architect, Solutions Architect, or similar role. Strong background in data modeling, data warehousing, and designing data architectures (OLAP and OLTP). Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data More ❯
high-performance data structures for analytics and Reporting. Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL More ❯
Requirements What you bring: Proven experience as an analytics engineer with a portfolio of impactful applications Expertise in SQL , Python and dbt Experience using OLAP systems and data warehouses Proficiency building dashboards in BI tools Background in mathematics , statistics , or engineering with strong problem-solving skills Experience in the crypto More ❯
and use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, OLAP, data mining, etc •Through the data architects, support and catalogue the overall data warehouse architectures and security, definition of data models, all data marts, and More ❯
to: Oracle Planning Implementation Professional certification. 2+ years building applications in Oracle PBCS, EPBCS, Planning or Essbase. Beneficial professional experience includes: Experience of other OLAP technologies (e.g. Anaplan, TM1). Experience in other Oracle EPM products such as FCCS or PCMCS. Work experience across Financial Services (banking, insurance, wealth and More ❯
ETL) large datasets from diverse sources. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL More ❯
by quant researchers and traders across desks and regions. What You’ll Be Driving Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for More ❯
Planning Implementation Professional certification. 3-4+ years building applications in Oracle PBCS, EPBCS, Planning or Essbase. Beneficial professional experience includes: Experience of other OLAP technologies (e.g. Anaplan, TM1). Experience in other Oracle EPM products such as FCCS or PCMCS. Work experience across Financial Services (banking, insurance, wealth and More ❯
to AWS eg. AWS RDS, Aurora-PostgreSQL/MySQL or other Open Source platforms. You will focus on customer solutions such as OLTP/OLAP environments, designing and deploying future state data services and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora More ❯
engineers in a SaaS environment. Solid technical proficiency in data engineering, data architectures, and analytics, with a specialization in building high-performance OLTP and OLAP environments. Familiarity with relational databases, document databases, Google Big Query, Python, and Databricks or equivalent technologies is preferred. Previous experience in creating real-time data More ❯
containerization technologies such as Docker and orchestration tools like Kubernetes (K8s) for managing microservices and application workloads. Familiarity with databases (SQL/NoSQL/OLAP) and their optimization techniques. Ability to handle high-pressure situations and respond to critical incidents swiftly. Hands-on experience with version control systems like Git. More ❯
Cloud computing Globally-distributed database replication/synchronization patterns Technical skills needed: MSSQL 2008 up thru 2016 Postgres Informatics Tableau MS SSIS - SSAS - BI OLAP This is a 6-month contract in Canary Wharf, London. Please send your CV to us in Word format. More ❯
to enable fast prototyping and security best practices. Relational Databases (PostgreSQL) at the heart of majority of services but we also use elastic search, OLAP data warehouses and data lakes to power our various data heavy workloads. We're AWS for Cloud hosted services. Heavy use of AWS lambda Serverless. More ❯
prior work experience is required in one or more of the following: .NET (C# or VB.NET) Microsoft SQL Server (database design, DBA, stored procedures, OLAP and reporting) Web services integration using SOAP or REST APIs Training in C/C++ will be provided but prior experience will be an advantage More ❯
Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
HipHopTune Media
Are you a skilled Data Analyst looking for a new opportunity with flexibility and purpose? A respected client of Hunter Selection, an employee-owned recruitment agency, is seeking a talented Data Analyst to join their team in a remote or More ❯
