901 to 925 of 6,992 Permanent SQL Jobs

tools to improve work outcomes, with examples you can talk through. Strong analytical and problem-solving skills. Experience working with large operational datasets. SQL and data interrogation capability. Advanced Excel skills. Experience analysing ERP transaction data, ideally within Microsoft Dynamics 365 Business Central. Power BI or equivalent business intelligence tools. ...

requirements and supporting system/process change. Excellent communication skills, with ability to work with business and technical stakeholders. Strong Excel skills; familiarity with SQL, Python, or data analysis tools is often beneficial. Ability to manage multiple priorities in a deadline-driven environment. High attention to detail and strong control ...

Azure. Experience with Git-based version control and CI/CD pipelines. Understanding of containerisation technologies such as Docker and Kubernetes. Experience working with SQL and/or NoSQL databases. Strong problem-solving, communication and stakeholder engagement skills. Experience working within Agile delivery environments. Security Requirements This role is subject ...

particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools such as SQL, Python and Databricks. Exposure to Power BI would be an added advantage. An approachable and proactive mindset, with the confidence to lead data architecture initiatives ...

particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools such as SQL, Python and Databricks. Exposure to Power BI would be an added advantage. An approachable and proactive mindset, with the confidence to lead data architecture initiatives ...

particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools such as SQL, Python and Databricks. Exposure to Power BI would be an added advantage. An approachable and proactive mindset, with the confidence to lead data architecture initiatives ...

promote a data-driven culture across the marketing function Support strategic planning through insight-led portfolio and customer-value growth recommendations Requirements Advanced SQL and strong experience with analytics tools, statistical methods, and enterprise dashboards Expertise in A/B & MVT testing, attribution models, lifecycle metrics, and causal analysis Experience ...

analysis, or data governance within the insurance sector. Understanding of insurance operations and data flows (e.g. policy lifecycle, claims processing). Working knowledge in SQL, Excel, and data visualization tools (e.g. Power BI, Tableau). Familiarity with data quality and data governance tools and frameworks (e.g. DQPro, Soda, DDW). ...

Infrastructure as Code (IaC), and containerization (Docker/Kubernetes). Strong proficiency in C#, .NET Core, Azure Functions, App Services, Azure DevOps, and SQL/NoSQL databases. Insurance Domain Knowledge Detailed understanding of insurance workflows and systems Experience integrating with or building insurance platforms and data models. Exposure ...

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly ...

building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability ...

derivatives, trading workflows, Treasury, Risk, Operations, platform support or business management would be helpful but is not required. Strong Excel capability is expected; SQL, Power BI, Python or similar tools would be advantageous. Exposure to Murex or other trading platforms would be beneficial but is not a prerequisite. Qualifications Bachelor ...

leading engineering projects or mentoring technical teams. Strong experience designing, building and maintaining ETL pipelines, data warehouses and scalable data platforms. Expert Python and SQL skills, with experience working with large datasets and distributed systems. Hands-on experience with AWS services, including Redshift, Lambda, EC2, Kinesis and Batch. Experience working ...

with the ability to own a well-defined analytical problem end-to-end and connect what you find to product and business impact. Solid SQL skills and knowledge of Python for analysis and automation, with exposure to data pipelines and data modeling. Experience with Product Analytics tools (e.g. Adobe Analytics ...

with the ability to own a well-defined analytical problem end-to-end and connect what you find to product and business impact. Solid SQL skills and knowledge of Python for analysis and automation, with exposure to data pipelines and data modeling. Experience with Product Analytics tools (e.g. Adobe Analytics ...

products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial. Experience ...

products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial. Experience ...

insight and agility, able to anticipate future challenges, ensuring operational effectiveness Skills and Experience: Experience using data analytics, modelling and visualisation tools such as SQL, Python, Alteryx or Power BI preferred Experience with advanced Excel functions Experience developing or improving financial reporting, dashboards and analytical processes Experience working with large ...

About Codelitt At Codelitt, we are more than a product-development company. We are creators, innovators, and problem solvers. We partner with companies around the world to design and build meaningful digital products, modernize complex ...

with practical experience using Git and working with CI/CD tooling (e.g. GitHub Actions, Azure DevOps, GitLab CI or similar).* Experience with SQL (AWS Redshift and Aurora PostgreSQL).* Comfortable working in an agile environment (Scrum/Kanban).* Strong problem-solving skills, attention to detail ...

excellent problem solving within an analytical field Knowledge about Life Insurance: Solvency II, IFRS17. Desirable C# and .NET Experience with Rust Experience with data, SQL, Snowflake Experience with Beacon, Athena, SecDB or similar Experience using AI code generation tools appropriately Experience in the Financial Services industry Software development lifecycle discipline ...

ownership and a practical understanding of how data becomes trusted business value Hands-on experience designing and delivering data engineering solutions on AW Strong SQL, dbt and Python skills, with experience building scalable pipelines, transformations and reusable dataset Good understanding of lakehouse architecture, medallion patterns, data modelling, data quality ...

information architecture, and data design principles, with the ability to align logical and physical data structures to business, operational, and regulatory requirements. Proficient in SQL and data modelling tools. Analytics & Business Intelligence – Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design ...

Engineering Foundation: Practical experience with data modelling, ETL/ELT, and a variety of database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with ...

Proficiency: Proficient with modern analytics tools (e.g., Google Analytics 4, Amplitude). Skilled with BI platforms (Tableau, Power BI, Looker). Basic-to-intermediate SQL knowledge is a strong plus. Analytical & Statistical Acumen: Deep understanding of digital journeys, conversion funnels, testing methodologies, and statistical analysis to evaluate incrementality. Communication & Storytelling ...