26 to 50 of 210 SQL Jobs in Berkshire

energy trading , commodities , or financial markets . Strong understanding of trading workflows, market data, and risk management. Familiarity with ETRM systems (e.g., Endur, Allegro, Trayport) and analytical tools (e.g., SQL, Python, Power BI). Excellent communication and stakeholder engagement skills. Ability to work independently and deliver value in a contract setting. Desirable Attributes Exposure to LNG, power, or broader commodity More ❯

and improving platform and product performance through experimentation and analytics What We’re Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects More ❯

mapping, and documentation. Stay ahead of Microsofts preview releases, including RSAT and Dual Write. Key Skills & Knowledge Strong X++ development skills (D365 F&O customisation and extension). Solid SQL expertise for reporting and data management. Proficiency in .NET technologies . Experience with Azure DevOps (repos, pipelines, automation) and Azure cloud infrastructure. Lifecycle Services (LCS) and ALM management experience. Familiarity More ❯

ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for the job. Strong communication and stakeholder engagement skills; comfortable working through ambiguity and influencing at all levels. A mindset focused More ❯

drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: Highly accountable self-starter More ❯

experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

and practices that add measurable value. SKILLS AND EXPERIENCE Required: 5+ years’ leadership experience in BI, analytics, or data science, ideally in high-volume or customer-centric environments. Strong SQL and Power BI (DAX, modelling) skills, with proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. More ❯

into technical solutions. Process redesign experience Able to map business processes into process flow diagrams Able to manipulate data in Excel, using intermediate formulae skills Practical experience of PowerBI, SQL query building At least 3 years of experience in Dynamics 365 or AX 2012 Finance and Accounting. Degree in MIS, finance, accounting or business is desirable This is a More ❯

improvement and automation to streamline data analysis workflows Collaborate with cross-functional teams to identify KPIs and design data collection methods. Experience Technical data scripting and modelling skills E.g. SQL, Python Familiarity with digital media platforms, advertising metrics, and performance tracking. Experience with Data Visualisation Software (PowerBI, Tableau and/or Google Data More ❯

led product decisions that impact thousands of clients Design and run experiments that fuel commercial growth What you bring: 5+ years in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

with stakeholders and respond to data requests as needed SKILLS AND EXPERIENCE Required: 2 years of experience in a BI, analytics, or data role (flexible) Proficient with Looker and SQL Exposure to DBT is a strong plus Familiarity with Excel, Power BI Good communication skills and some experience working with stakeholders Interview Process: Intro call and CV run-through Take More ❯

including campaign performance and database health. Supporting data pipelines and automation to streamline CRM processes. Collaborating with senior stakeholders to influence customer engagement strategy. Your Skills and Experience Strong SQL skills (essential). Hands-on experience in CRM analytics and campaign reporting. Experience in retail, e-commerce, or CRM-focused environments. Comfortable presenting insights to both technical and non-technical More ❯

insight requests from across the business Working closely with the senior analytics team to continuously improve data processes What We're Looking For: Strong Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with More ❯

skills, experience and competencies required to be successful in this role: Bachelor’s degree in a relevant field. Proficiency in Excel for data analysis and reporting. Good understanding of SQL and relational databases. Understanding of other programming languages such as Python/VBA would be beneficial. Strong attention to detail and analytical thinking. Clear and concise written and verbal communication More ❯

Senior Engineer into Tech Lead/Engineering Manager roles. Are comfortable leading strategy but still enjoy being close to architecture and implementation. Have worked with JavaScript/TypeScript, Node.js, SQL, React or similar technologies. Bring strong experience in backend engineering, APIs, cloud infrastructure (we use AWS), and modern DevOps. Have experience building products in high-stakes or regulated domains (e.g. More ❯

projects simultaneously and manage conflicting demands. Desirable: Understanding of analytics platforms and/or ad manager platforms such as GA4, Adobe, Meta Ad Manager etc. Familiarity with Python and SQL preferred – while direct experience isn’t required, a basic understanding of what these tools are and how they’re used is beneficial. Knowledge of data privacy laws, governance, ethical data More ❯

project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics … tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI technologies, including LLMs, AI agents and external AI More ❯

project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation Develop and optimise data models, ETL processes, Workflows and dashboards within the platform Provide best practices for analytics … tier university 3+ years’ experience in a technical, data-focused, and customer-facing consulting role Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI). Strong skills in SQL and Python for data modelling, integrations, and process automation Hands-on use of APIs, including constructing calls in Postman Familiarity with AI technologies, including LLMs, AI agents and external AI More ❯

Drive delivery through structured planning, rigorous testing, and stakeholder engagement. Drive process improvement, control and streamlining of BAU tasks for business users. Desirable Skills Experience with PowerBI, Python or SQL Experience working with large data sets More ❯

Strong experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. 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 ❯

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 ❯

environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our More ❯