1 to 25 of 45 Analytics Jobs in York

to learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data modeling … experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and More ❯

/join with: This role requires eligibility for Security Clearance, hence we can only consider UK citizens Required skillset summary: Creation of dashboards, reports; Fusion Data Intelligence and Oracle Analytics Cloud - OAC - necessary; Job Title: Principal Engineer, CSS Delivery - Analytics Job Summary: We are seeking a highly skilled Oracle OCI OBl Analytics Engineer with expertise in building, optimizing, and supporting … Analytics solutions in Oracle Cloud Infrastructure (OCI). As a key member of our team, you will be responsible for designing, implementing, and maintaining robust OCI-based analytics solutions. Your extensive experience with OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI in general will be instrumental in driving the success of our analytics initiatives and enabling data-driven … decision-making. Responsibilities: Solution Design and Development: Collaborate with cross-functional teams to understand business requirements and design end-to-end analytics solutions in OCI. Leverage your expertise in OBIEE, ODI, BIApps, OAC, OAS, Fusion Analytics Warehouse, and OCI services to architect scalable, performant, and reliable analytics solutions. Implementation and Optimization: Build and configure OCI-based analytics solutions, ensuring alignment More ❯

Data Analyst Salary: £30,000 - £40,000, dependent on experience Are you passionate about data and analytics? Do you want to make a real impact in the education sector? STEM Learning is looking for a motivated and skilled Data Analyst to join our team and help us unlock the power of data to drive our mission forward. The Role As … a Data Analyst at STEM Learning, you will play a pivotal role in leveraging analytics and data science methodologies to enhance our understanding of our offer, deepen our knowledge of our audience, and evaluate the impact of our work. You will work collaboratively with the Data & Impact Team to apply advanced data modelling, predictive modelling, and analytical techniques to generate … actionable insights. Key Responsibilities: Deliver a high -quality data analytics service: Provide high-quality BAU data reporting and deliver a portfolio of quantitative analytics projects and research, which deliver robust impact measurement and support data-driven evaluation of our programmes. Champion analytics: Position analytics and data science as central to the organisation, identifying new and emerging analytics needs and supporting More ❯

You will play a key role in embedding data engineering best practices, supporting colleagues across the data community, and ensuring the delivery of impactful, reusable data assets that power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act as … Strong experience working within AWS environments – specifically S3, Glue, Lambda, GitHub, and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment More ❯

You will play a key role in embedding data engineering best practices, supporting colleagues across the data community, and ensuring the delivery of impactful, reusable data assets that power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act as … Strong experience working within AWS environments specifically S3, Glue, Lambda, GitHub, and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment More ❯

this role, you’ll lead cutting-edge data engineering efforts that will enable strategic decision-making, enhance operational efficiency, and support the deployment of AI, machine learning, and advanced analytics across the organisation. We are looking for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing team. You'll be managing a … S3, Glue, Lambda, and Lake Formation. Proficiency in Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate More ❯

In this role, youll lead cutting-edge data engineering efforts that will enable strategic decision-making, enhance operational efficiency, and support the deployment of AI, machine learning, and advanced analytics across the organisation. We are looking for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing team. You'll be managing a … S3, Glue, Lambda, and Lake Formation. Proficiency in Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such as Alteryx, AWS Athena, Quicksight, Sagemaker, Tableau, and Power BI. Excellent communication and stakeholder management skills. Ability to write clear technical documentation and define user stories with appropriate More ❯

Snowflake, Alteryx, and Power BI) it’s the ideal setting to show how your data leadership skills can transform business performance and client outcomes. Reporting to the Group Data & Analytics Director and responsible for three teams of technical specialists, you’ll foster a culture where analytics drives innovation, including: Developing the strategy for data governance and architecture, optimising process and … your impact will be instantly visible – here and in the wider financial services industry. Succeed, and there’s a clear route to become the firm’s next Group Data & Analytics Director, with mentorship from the current incumbent. What you’ll add You're a business leader who specialises in data engineering and/or data governance. Your CV includes as More ❯

with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modeling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best practices for model training and deployment. Stay ahead of the curve by researching new techniques and technologies, sharing insights with the … team. Must-Haves Experience in data science, advanced analytics, or a strong desire to learn. Ability to conduct high-quality research independently or in small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling More ❯

a global, matrixed structure (Technology, Product, Service Delivery, and Client Success) Platform & Tooling Ownership Own the configuration, adoption, and continuous improvement of operational platforms (e.g. ServiceNow ITSM, CSM, Performance Analytics) Lead implementation of new intelligent tooling, including an enterprise chatbot and workflow automation solutions Manage vendor partnerships, platform roadmaps, and budget performance related to tooling and AI capabilities Reporting & Business … global Reporting Centre of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases meet compliance, governance More ❯

a global, matrixed structure (Technology, Product, Service Delivery, and Client Success) Platform & Tooling Ownership Own the configuration, adoption, and continuous improvement of operational platforms (e.g. ServiceNow ITSM, CSM, Performance Analytics) Lead implementation of new intelligent tooling, including an enterprise chatbot and workflow automation solutions Manage vendor partnerships, platform roadmaps, and budget performance related to tooling and AI capabilities Oversee internal … global Reporting Centre of Excellence to align data governance, quality, and reporting frameworks AI & Automation Enablement Build and scale a team focused on AI-led operational transformation (e.g. predictive analytics, smart routing, anomaly detection) Partner with data science and engineering teams to embed AI into service delivery workflows and client experience journeys Ensure all AI use cases meet compliance, governance More ❯

optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML/statistical techniques. Collaborate with cross-functional teams to enhance analytics practices. Write high-quality, maintainable Python code adhering to best practices. Stay updated on new techniques and share insights with the team. Must-Haves Proven experience in data science or More ❯

ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power BI Why Paragon DCX? We’re not just consultants, designers or developers. We’re a collaborative force of More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

Social network you want to login/join with: Flexera is seeking a highly motivated and experienced Senior Product Manager to lead our Content data analytics capabilities. This strategic role requires a blend of technical acumen, customer insight, and a deep understanding of integration ecosystems. Responsibilities : Define and execute the product vision and strategy for the Flexera platform's analytics … timely delivery of high-quality features Establish and monitor KPIs to assess integration performance and inform product decisions Serve as the subject matter expert for the Flexera and data analytics, providing guidance and thought leadership both internally and externally Engage with customers and partners to gather feedback, refine product strategy, and identify new opportunities Maintain a keen understanding of industry More ❯

Looking For Experience : Proven background in technical support and consulting, ideally within a SaaS or technology business, with strong technical expertise and project management experience. Technical Skills: Proficiency running analytics and building BI dashboards. Preferably past experience with Lightdash. Problem Solving: Exceptional troubleshooting, analytical, and problem-solving skills with the ability to work cross-functionally and influence outcomes. Organisation : Highly More ❯

evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in More ❯

us to help organisations understand and resolve some of the most complex and shared challenges. We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation More ❯

Minimum of 2 years of experience in computational biology , solution architecture, product development, systems integration, or similar roles, preferably in the life sciences . Laboratory experience with sufficient computational analytics experience will be considered. Proficiency in analyzing functional and technical requirements, data flows, and data formats. Experience creating functional and design specifications for platform architecture, data pipelines, and/or More ❯

An award-winning web analytics consultancy is seeking a client-facing Adobe Analytics practitioner to join their team and take ownership of key accounts. THE ROLE As the Adobe Analytics Consulting Lead, you will work on some of the primary accounts within the agency portfolio, enabling customers to fully utilise Adobe Analytics. You will lead on strategy as well as … hands-on implementation of the platform. YOUR SKILLS AND EXPERIENCE Strong Adobe Analytics experience Client-facing experience in an agency-side or consultancy role (strongly preferred) THE BENEFITS Bonus Fully remote working (within the UK) HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page. KEY TERMS … IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, DTM, Dynamic Tag Manager, Ensighten, Tealium, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B testing, Split testing, Multivariate testing, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy, CRO, Conversion Optimization, Optimizely, Test and Target, Adobe Target, Maxymiser, VWO, Visual Website Optimiser #J-18808-Ljbffr More ❯

into production. Collaborating closely with a team on all aspects of the data science and deployment lifecycle. Working with data scientists, data engineers, and other technical teams to support analytics maturity within the organization. Writing high-quality Python code following industry best practices for model training and deployment. Required Skills Good knowledge of software engineering best practices. Experience with TDD … Experience with version control systems (VCS) and CI/CD pipelines. Ability to identify opportunities to apply machine learning to solve business problems. Experience in developing predictive and prescriptive analytics (modeling, machine learning, data mining). Graduate or postgraduate qualification in engineering, mathematics, physics, statistics, or equivalent experience. Experience in finance, insurance, or eCommerce is a plus but not required. More ❯

For: Industry Experience: At least 1+ years of hands-on experience working in Data Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or … purpose-driven work making a real impact on learners’ careers Full training & up-skilling on how to become an effective Coach CPD around all further areas of Data Engineering, Analytics, and wider tech fields A quality-focused environment that ALWAYS puts learner needs & education first Salary will be £45,000, and you can decide what days/hours you work More ❯

work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Workday Adaptive Consultant – ERP Integration, Adaptive Insights, IBM Planning Analytics (TM1), Oracle Essbase/PBCS, Anaplan, Consultant, Senior Consultant, Principal Consultant, Financial Models, ERP Integration, Planning Solutions, SaaS (Software as a Service), CPM Tools – Permanent - Remote … The role involves regular travel, including occasional overnight stays. Key Skills & Experience: 3+ years of hands-on experience building models using CPM tools such as Adaptive Insights, IBM Planning Analytics (TM1), Oracle PBCS, or Anaplan Strong proficiency in Microsoft Excel and solid understanding of modern IT systems, including cloud and SaaS technologies Commercially aware, client-focused, and self-driven Strong More ❯

across the MDM programme Drive the use of trusted master data to enhance customer experience, optimise service delivery, and improve operational efficiency. Ensure master data readiness to support advanced analytics, AI/ML initiatives, and automation across business operations. Work with the business to define and implement MDM processes and best practices Oversee the MDM technology solution (Informatica desirable, but More ❯