1 to 25 of 1,083 Analytics Jobs in the UK excluding London

data flows in an hospital setting. Experience of Azure DevOps Services, CI/CD pipelines. Experience of MongoDB Microsoft Certification (in Azure or Data Analytics) Experience Essential Proven Experience of working with Databases Experience of database report writing Experience of working on data science projects using Python or similar. Experience more »

engineering roles, preferably within a consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity with data visualization more »

/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads, Google Search Console Experience with low-code/no-code data platforms e.g. Retool, Hex more »

/Architect to join our team. The ideal candidate will possess extensive knowledge and hands-on experience with Palantir Foundry, including its data integration, analytics, and operational decision-making capabilities. As a Palantir Foundry Specialist/Architect, you will be responsible for designing, developing, and maintaining data-driven solutions that more »

Are you an experienced Senior Data Visualisation specialist ? Would you like to work for a fast growing business that specialises in Business Intelligence & Data Analytics ? Its a Hybrid working role and you will be based from either their London, Leeds, Manchester or Edinburgh office, typically 3 days a week from more »

SaaS) Agile, Scrum, Waterfall, and DevOps methodologies This is a great AWS Data Engineer opportunity to work with an award-winning Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. On offer more »

applications change overall. Required Skills and Qualifications: Bachelor's or Master's degree in a relevant field, such as Computer Science, Data Science, Business Analytics, or a related discipline. Strong analytical and problem-solving skills, with a passion for working with data to extract meaningful insights. Familiarity with data analysis more »

maintain relationships, collaborating on tool implementation and updates. Professional Expertise: - Qualified or Finalist ACCA/CIMA/ACA - 5 years of experience in data analytics within finance domain - Exceptional financial modeling, Excel, and analytical skills. - Extensive Knowledge of Visualization Tools: Power BI, Alteryx, Tableau - Excellent Coding ability including SQL, DAX more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching Confident with business intelligence and analytics tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure Be adept with your collaboration skills Additional Information This role more »

CUSTOMER ANALYTICS MANAGER BIRMINGHAM £45,000 – 55,000 Global leader in financial services going through a huge insight transformation. Take on a managing role where you help to lead an arm of company in providing detailed customer insights! THE COMPANY Financial service going through a digital transformation, gaining new tech … will work with one of their leading retail partners focussing on how to benefit and grow the external brand! THE ROLE As a Customer Analytics Manager your focus will be to aid the business in providing insights across customer and campaign analytics, specifically you will: Use SQL and Python to … The successful candidate will have the following skills and experience: An expert in SQL (Python/R would be desirable) Good knowledge of customer analytics and KPI’s such as CLV, retention and loyalty Confident providing insights to high level senior stakeholders and conveying complex tech terms in digestible jargon more »

model Volunteering days and you can bring your dog to the office! Job Description The job at a glance As a Director of Product Analytics and Data Science, you will responsible for leading an organisation comprising several Product Analytics, Data Analytics and Data Science teams, covering the Analytics and Data … members to achieve their full potential and progress along their career path of choice. Your responsibilities: Lead a group of five Data Science and Analytics teams, providing strategic direction, coaching, and mentorship. Collaborate with Senior Leaders across the Product, Tech and Marketing organisations to understand the business needs and translate … initiatives. Partner with your managers to ensure their teams are delivering effectively on assigned projects and goals. Develop and implement a data science and analytics strategy aligned with the overall business objectives. Empower your managers to apply effectively established people management frameworks to develop, acquire, grow, and retain top talent more »

and user guides. Best Practices: Stay up to date with the latest trends and best practices and incorporate them into development processes. Reporting and Analytics: Develop interactive reports and dashboards using Power BI or Tableau to provide actionable insights for decision-makers. Security and Compliance: Ensure the security and compliance more »

transformation as we build our all-new Azure data lake. Leveraging the vast amounts of data captured from our tech, we deliver cutting-edge analytics that drive change across the businesses we serve. We are seeking a dynamic Data Analyst/Scientist to join our team and help shape the more »

ADF or similar products to undertake complex integrations. • Experience in the role of a DBA or DBA related activities • Relevant further qualification in business analytics related field • Strong technical acumen and the ability to analyse complex situations and effectively solve problems and drive an excellence culture. • Understanding of GDPR and more »

Evaluating, designing and implementing on-premise, cloud-based and hybrid data engineering solutions Structuring and storing data for uses including - but not limited to - analytics, machine learning, data mining, sharing with applications and organisations. Harvesting structured and unstructured data Integrating, consolidating, and cleansing data Migrating and converting data Applying ethical more »

Become the go to person for support with value adding reporting requests Data warehouse design, data modelling, build and manipulation Optimize the Azure Data Analytics platform, allowing ingestion of data from a variety of data sources to support Power BI reporting Build, optimise and metadata management of data models Run more »

an experienced Data Analyst ? Do you have strong SQL and Power BI skills ? Would you like to be part of a newly created Data Analytics team ? My clients office is Glasgow city-centre however the role is hybrid (2 days a week in the office), It’s initially an more »

essential The Company A global and multi-billion-pound Financial Services company working with household names across the world improving their performance through data analytics more »

mutual funds companies, seeking an experienced Data Analyst to join their team in Glasgow. This role will be part of a newly established Data Analytics team within the Actuarial function, focusing on collecting, processing, and analyzing data to provide insights and support strategic decision-making. You will work with datasets more »

and is poised for rapid expansion. Our client, an innovative AI-driven tech company, is transforming industries with its advanced computer vision and data analytics solutions. Join a team committed to enhancing safety, security, and efficiency across sectors such as transport, healthcare, manufacturing, and education. Benefits : 25 days annual leave more »

reporting Assist with the continuous improvement, development and streamlining of reporting processes Experience: Proven expertise in data modelling, statistical analysis, and the use of analytics and visualisation tools (e.g., SQL, Python, R, Tableau, Power BI) Understand MS Excel to an advanced level including Power Query, VBA, Macros Be able to more »