1 to 25 of 77 Analytics Jobs in Yorkshire

at least one of the following four areas: Statistical modelling and techniques including coding on software packages (R, Python) or Business intelligence and visual analytics to develop and standardise sophisticated interactive presentations and visualisation (using PowerBI, Tableau etc) or Data linkage and analysis of new types of data including using more »

and championing data quality throughout the business. The ideal candidate will have 2-3+ years of proven professional experience in Business Intelligence/Analytics (Power BI). They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data more »

and distribution. What will you bring to the role? Previous experience in a BI or Data Developer role with proven track record in data analytics providing insight as well as recommendations. Advanced SQL skills and knowledge of database structures. Detailed Data Warehouse Design & Modelling Skills. Working knowledge of SAP HANA more »

Optimise query performance and ensure data accuracy and integrity. Stay updated with emerging BI trends and technologies to drive continuous improvement. Utilise real time analytics to have a meaningful impact on business performance. Requirements: Relevant Degree in Computer Science or similar field Advanced Power BI SQL & SSRS DAX Experience with more »

with passion to advise on this area and ability to develop further knowledge Experience in research, analysis, and report writing Understanding of Data and Analytics methods Experience of using SQL and Power BI Ability to be able to communicate effectively with both non-technical and technical stakeholders What you'll more »

of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in more »

Reporting to the Group Data Analytics Manager, you will be responsible for learning how to deliver workflows and visualisations to provide a foundation on which the business can make quicker, more informed business decisions. Based at our Harrogate head office ( we require that you are already living within a more »

build, migration, and ETL) Ensure high quality of data through setting best practices & conducting checks and validations Stakeholder management & influencing Work closely with the Analytics team to determine best data infrastructure About You Proven experience in managing/supervising a small team 5+ years of experience within Data Engineering Proficiency more »

and market dynamics. Market Analysis: Conduct thorough market research to understand competitor pricing, market trends, and customer preferences. Data-Driven Decision Making: Utilise advanced analytics to model pricing scenarios and forecast impacts on revenue and market share. AB testing Frameworks: Develop comprehensive AB testing frameworks to test different prices and more »

data processes. Actively engage in learning opportunities to enhance data-related skills. Keep up to-date with industry trends and emerging technologies in data analytics Full training and support will be provided by your workplace mentor and from the Baltic team. Salary, Hours & Benefits: 35 hours a week over more »

assets and how they are managed through their lifecycle. ·Developing and managing information gathering and consultation processes Desirable Qualifications and Experience ·Previous experience data analytics within a regulatory setting. ·Previous leadership or team management experience. ·Understanding of utility regulation and the complexities of regulatory datasets ·Track record of supporting electricity more »

regulations and clients for credit risk scorecards. Developing credit strategies at all stages of the credit risk lifecycle. Working with clients to drive portfolio analytics and reporting on insights. Using SAS, SQL, and Python daily within the role. Your skills and experience To be successful as a Senior Credit Risk more »

only successful applicants will be contacted. Desired Skills and Experience SQL, Python, data science, forecasting, supply chain, demand, supply and demand, statistical modelling, predictive analytics, machine learning, data modelling more »

well-engineered software solutions. ? Delivery of the roadmap for digital solutions, proposing and implementing the most effective approaches and technologies to fulfil requirements. ? Monitor analytics and user journeys to identify and implement customer experience enhancements. ? Approach work with a mindset that embraces Agile principles and culture, and be a positive more »

test-driven approach Create SQL code that is easy for others to understand and reuse Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Document source-to-target data mappings Re-engineer manual data flows to enable scaling and repeatable use Support the build more »

Pro for IT Asset Management Working knowledge of Microsoft Power BI and can demonstrate use within the ITAM Business Intelligence, Data Insights and Data Analytics Space Working knowledge of Qualys or alternative Vulnerability Management solutions. We embrace a flexible working model, where our hybrid setup typically requires an average of more »

the delivery of a number of exciting transformation programmes. A strong application background (software development/azure applications) coupled with experience across data warehousing & analytics technologies are essential for success in this role. A bit about you Previous experience in a Technical Architect or Solutions Architect role Knowledge of cloud more »

developing and executing digital performance strategies that drive measurable results. Strong analytical skills with proficiency in data analysis tools and platforms such as Google Analytics GA4 In-depth knowledge of digital marketing channels, tactics, and technologies. Excellent leadership abilities with a track record of building and managing high-performing teams. more »

project execution best practices. Mentoring and training of junior engineers. Working closely with customers to identify areas for process improvement through automation and data analytics technology. Researching new technologies and trends in Digital Manufacturing. Qualifications/Skills/Experience Experienced digital manufacturing engineer with 3+ years’ experience in AVEVA (Wonderware more »

well-engineered software solutions. ? Delivery of the roadmap for digital solutions, proposing and implementing the most effective approaches and technologies to fulfil requirements. ? Monitor analytics and user journeys to identify and implement customer experience enhancements. ? Approach work with a mindset that embraces Agile principles and culture, and be a positive more »

direction of travel and progress and coordinating efforts to tackle health inequalities across multiple population segments. The post holder will be confident in data analytics and will be capable of identifying and driving improvement based on both qualitative and quantitative data. The post will be a key liaison point with more »

big retailer who are driving their data and AI capabilities to the next level. You will join the Logistics Data team reporting into the Analytics Manager. The Role: As a Data Scientist, you will be responsible for: - Working on forecasting and using machine learning to improve this and their logistics. more »

days holiday plus bank holidays, Shares, flexible working hours, remote working and more. Company: A leading Fintech that provides advanced data/analytics to capital markets (Banks, Brokers, Asset Managers, and Hedge Funds) and a renowned player in the Data space. After numerous rounds of funding, they are looking to more »

training in how to: · coordination and execution of specific marketing tasks, including the creation of marketing content · conducting market and customer research, tracking campaign analytics, and data collection · utilise relevant marketing software and systems and manage marketing administration tasks · procuring and supervising work delivered by both external and internal marketing more »

for automated and manufacturing execution systems (MES). Working closely with customers to identify areas for improvement through the use of automation and data analytics technology. Providing technical and automation operational support to Engineering, Manufacturing, Validation and Facilities departments. Co-ordinating and supporting project commissioning activities. Mentoring and training of more »