5 of 5 SQL Jobs in Street

data and analysis across the team. SKILLS & EXPERIENCE REQUIRED: Strong experience working with different types of data, both structured and unstructured. Proficiency in SQL and Power BI (or similar data visualisation/BI tools e.g. Tableau, Qlikview etc.). Ability to interpret complex datasets, identify trends, and deliver actionable insights. ...

create applications through Python with connected databases, practising TDD and OOP Tools and technologies learned: Apprentices learn to use Python, Linux, Google Cloud, Microsoft SQL Azure and AWS. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard DevOps engineer (level ...

role in supporting and developing the systems that keep our business running. You'll gain hands-on experience with ERP systems, Power BI, SQL, automation tools, AI technologies and in-house applications while working alongside experienced colleagues and external technology partners. Role Provide first-line support for business systems, investigating … issues and escalating where appropriate. Assist with the administration, maintenance and testing of our ERP system. Use SQL to support data analysis, troubleshoot issues and improve data quality. Develop and maintain Power BI reports and dashboards. Identify opportunities to improve processes through automation using tools such as Power Automate, Python ...

We are partnering with a fantastic client who is currently looking for an inquisitive and detail-oriented Data Analyst to join their data and analytics team. Our client relies heavily on data-driven insights to ...

your technical skills and accelerate your career. What You Will Be Doing Developing backend services and APIs using Python and Node.js Working with PostgreSQL, SQL and MongoDB Contributing to React-based frontend applications Supporting the training and deployment of commercial machine learning models Working with object detection and computer vision … will ideally have: Around 1 to 2 years of commercial software development experience Commercial experience with Python and/or Node.js Experience working with SQL or NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution ...