451 to 475 of 6,966 Permanent SQL Jobs

organisation’s information needs, including a KBR team dedicated to providing analytics and insight on client estate. It will require deep technical knowledge of SQL, ETL and Microsoft stack, and demand establishment of collaborative working relationships with technical peer groups, KBR BI/MI Lead(s) and the supporting team …/mobilisation projects through all phases from definition through development to close. Required Experience & Skills Essential Experience developing, deploying and supporting multi-data source SQL data warehouses in an on-premise environment. Experience of the full Microsoft Stack – SSIS, SSRS and SSAS. Experience creating, documenting and developing data models ...

experience in Data Science, Machine Learning or Advanced Analytics roles. Strong hands-on Python experience for data analysis, feature engineering and model development. Strong SQL skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model ...

understanding the wider business context behind the numbers. You will ideally have: Strong experience using data analysis and business intelligence tools such as Excel, SQL, Python, R, Power BI and/or Tableau . Proven experience collecting, cleansing, analysing and managing data from multiple sources. Strong analytical and problem-solving ...

major or multiple client projects across our suite of MMM/Data science offerings - Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools. - Conduct analyses related to consumer behaviour, market trends, and campaign performance. - Build, maintain, and apply statistical and predictive models, including regression … equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. - Experience or willingness to learn visualisation tools such ...

Analysis & Stakeholder Support Advanced Analytics & Data Projects Must Have Experience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. Strong SQL skills and experience querying, joining, and validating structured datasets. Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase ...

Quality, Governance & DocumentationBusiness Analysis & Stakeholder SupportAdvanced Analytics & Data ProjectsMust HaveExperience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. Strong SQL skills and experience querying, joining, and validating structured datasets. Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase ...

Business Analysis Practitioner. Agile qualifications such as CSPO, PSPO, Scrum Master or SAFe. Experience with CRM, ERP, DMS or automotive retail platforms. Power BI, SQL, data analytics or business intelligence reporting. Supporting large-scale digital transformation programmes. Working with geographically dispersed and cross-cultural teams. Understanding of UK/ ...

production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good understanding of Lakehouse architecture and Delta Lake. Experience working with AWS, Azure or GCP. Experience implementing CI/ ...

Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Experience with SQL Experience in the data/BI space Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience ...

Python, (especially Pandas) skills for data analysis, motivation to write production-ready code. Basics of git, CI/CD and collaborative development environments Intermediate SQL skills Ability to analyse concentration, exposure dynamics, and performance trends across portfolios. Ability to translate business and risk requirements into analytical outputs. Strong communication skills ...

Essential Experience/Skills Significant experience leading the design, development, and operation of enterprise-scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud-based analytics and data platforms. ...

including pivot tables, complex formulas, and data modeling (essential). Experience with business intelligence and visualization tools (Power BI, Tableau, or similar) (essential). SQL or database query skills desirable. Understanding of financial statements, management accounting principles, and cost analysis.(essential). Statistical analysis and forecasting techniques (essential). Experience ...

services* Develop batch and ELT/ETL data workflows for ingesting and processing large datasets* Work with technologies such as Python, Java, Spark, SQL, and Airflow* Apply good software engineering practices, including testing, documentation, and CI/CD* Contribute to cloud‐based systems (AWS), focusing on reliability, monitoring, and automation ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. What We Offer: Competitive ...

proficiency in Excel and financial modelling.- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.- 3+ yearsof experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based ...

Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/ELT processes Programming and data manipulation (Python, SQL) Proven ability to: Transition organizations from fragmented reporting to standardized data-driven decision making Drive business adoption of data, not just technical implementation Experience leading ...

scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services. Databases; Microsoft Dataverse, Microsoft SQL, MySQL, and experience with AI-driven data analytics. Strong understanding of AI governance, compliance, and responsible AI practices. Excellent communication, leadership, and client engagement skills. Preferred Skills ...

Essential Experience/Skills Significant experience leading the design, development, and operation of enterprise‐scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud‐based analytics and data platforms. ...

Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL and NoSQL). Familiarity with cloud platforms (AWS, Azure) and their data services. Understanding of data modeling and data architecture principles. Experience with data warehousing ...

learn. Desirable Skills Experience with Microsoft Power Apps, Power Automate or Power BI. Experience using Large Language Models (LLMs) or AI APIs. Familiarity with SQL and data visualisation tools. Knowledge of process mapping and business process improvement. Understanding of procurement or supply chain principles (not essential). Benefits Starting from ...

scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services. Databases; Microsoft Dataverse, Microsoft SQL, MySQL, and experience with AI‐driven data analytics. Experience designing cross‐tenant migration, automation, and multi‐tenant environments. Strong understanding of AI governance, compliance, and responsible ...

scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services. Databases; Microsoft Dataverse, Microsoft SQL, MySQL, and experience with AI-driven data analytics. Experience designing cross-tenant migration, automation, and multi-tenant environments. Strong understanding of AI governance, compliance, and responsible ...

experience, configuring or restructuring NetSuite specifically to support revenue reporting or GL/segment design. • Experience with subscription, recurring, or churn-based revenue reporting. • SQL or other data query skills. • Part-qualified or qualified accountant (ACA, ACCA, CIMA) — desirable but not required. • Experience using AI tools to enhance financial analysis ...

options, trade‐offs and recommendations. Work effectively with senior stakeholders while maintaining hands‐on analytical ownership. Advanced analytics & technical delivery Deliver complex analysis using SQL and advanced analytical tools such as Python or R. Design, build and maintain robust analytical datasets and coherent data models suitable for reporting and advanced ...

technical strategy, architectural patterns and engineering standards while providing technical leadership across teams. Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure ...