10 of 10 SQL Jobs in Walsall

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing, and segmentation. Experience building reusable data models, ideally More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: · Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. · Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. · Technical expertise in data mining, data auditing, and segmentation. · Experience building reusable data models, ideally More ❯

insight reports. The analyst will work to streamline reports and enhance data integrity across the organisation while demonstrating accountability in decision-making. Key skills and responsibilities: Strong proficiency in SQL, Excel, Power BI, and DAX, as these tools form a core part of the role. Solid knowledge of T-SQL, with experience writing complex queries and developing stored procedures to More ❯

insight reports. The analyst will work to streamline reports and enhance data integrity across the organisation while demonstrating accountability in decision-making. Key skills and responsibilities: Strong proficiency in SQL, Excel, Power BI, and DAX, as these tools form a core part of the role. Solid knowledge of T-SQL, with experience writing complex queries and developing stored procedures to More ❯

using statistical techniques and interpret trends and patterns in complex data sets. In order to apply for this role, you must have the following skills and experience: Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience … working with cloud-based data platforms, such as Snowflake or DataBricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing, and segmentation. Experience building reusable data models, ideally More ❯

using statistical techniques and interpret trends and patterns in complex data sets. In order to apply for this role, you must have the following skills and experience: Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience … working with cloud-based data platforms, such as Snowflake or DataBricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing, and segmentation. Experience building reusable data models, ideally More ❯

bonus & benefits An established, financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation - a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies. You'll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work … hands-on leadership role - ideal for someone who thrives in both strategy and delivery. Ideal Candidate: Proven leadership of large data engineering teams (UK and offshore) Deep expertise in SQL Server, and experience migrating to Azure cloud Experience managing third-party partners/vendors Ability to stay hands-on to mentor teams on technical delivery Background in the banking/… financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final 90 minute session with senior leadership (CDO, CTO, CIO) All applicants will undergo More ❯