Birmingham, West Midlands, West Midlands (County), United Kingdom
Experis
Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge more »
financial data processing. You will lead a team of data engineers to ensure the efficient extraction, transformation, and loading of financial data into their analytics and decision-making systems.Responsibilities:Architectural Design: Design and architect scalable, efficient, and reliable ETL pipelines on AWS, ensuring high performance and low latency data processing.AWS more »
City of London, London, United Kingdom Hybrid / WFH Options
In Technology Group Limited
DevOps practices, CI/CD pipelines, and deployment automation is a definite plus. If you have experience in data modeling, ETL processes, and data analytics/reporting tools like PowerBI, we'd love to hear about it. Show us your excellent interpersonal skills and ability to thrive in a collaborative more »
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Leeds Building Society
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 »
operations, marketing, and finance, to gather requirements and understand their data needs. You will play a crucial role in translating business objectives into robust analytics solutions that support decision-making processes. Data Management: Take charge of the data cleansing, transformation, and modelling processes. Ensure the accuracy, consistency, and accessibility of more »
Retention. About You: Required qualifications, experience and skills: Bachelor's degree in Computer Science, Statistics, Mathematics or another quantitative field Experience in business intelligence, analytics or related data-oriented role. Experience in leading others in data collection and analysis. Expertise in collecting, mining and analysing large, complex data sets. Experience more »
afraid to challenge the status quo. Your hands-on experience with tech products— platforms, apps or websites—using tools like Firebase, Pendo, and Google Analytics sets you apart. Proficient in Python, SQL, and Excel, you're adept at wrangling complex datasets, and your expertise extends to data visualization tools such more »
London, England, United Kingdom Hybrid / WFH Options
Amplifi Capital
and proven skills in delivering analytical, measurement and reporting outputs. Experience with cloud providers - ideally AWS and experience with the standard AWS solutions Data analytics expertise - skilled with SQL, graph databases, NoSql and with an understanding of the pros and cons of which tool to use when. Data optimisation expertise more »
with UNIX/cloud computing systems, data management systems, advanced statistical software, and visualization tools. Strong proficiencies in problem-solving, bioinformatics or other data analytics algorithm design, genomic and proteomic technologies, and high throughput experimental techniques, e.g., next generation sequencing technologies, single cell technologies, and/or their applications. A more »
Reading, England, United Kingdom Hybrid / WFH Options
CPS
when there are issues, acting with credibility and professionalism as well as giving confidence to customers on the actions being taken. · Experience with data analytics and MI/BI tools (Power BI preferred). · The ability to work with clients from a variety of industry sectors, including financial services, technology more »
Manchester, Greater Manchester, United Kingdom Hybrid / WFH Options
Deloitte
our clients’ most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions.Strategy, Analytics and M&AHow do you make intelligent, future-proof decisions in a world where change is the one constant? That’s exactly what you’ll more »
their expectations. The Role We are looking for an enthusiastic hands-on technologist to join an exciting opportunity for building a sophisticated data/analytics/reporting platform. As the director of data engineering/analytics/reporting, you will build and evolve the next gen data platform to process … You will own end to end projects to plan, design, and execute critical features of this platform. Role Responsibilities Architect & implement a highly scalable analytics and reporting platform. and resilient EAI architecture using off the shelf middleware and cloud services. Collaborating with IT and business partners to understand the application … with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS. · Experience with AI/Machine Learning and Predictive Analytics · Experience in developing global products will be a big plus. · Understanding of budgets and business-planning · Ability to conduct technological analyses and research · Excellent communication more »
TM1 Planning Analytics Preston - Hybrid working, 2 days per week in office My client, a market leader in the defense industry, are looking to recruit a Planning Analytics Developer to take responsibility for the timely and accurate delivery of analytics that support senior stakeholders’ decision-making. You will have a … technical knowledge of TM1 Planning Analytics’ architecture, including PAX/PAfE, PAW, and PASS together with the ability to understand technical instructions and communicate these onto others. What you’ll be doing: Designing, developing, and maintaining planning analytics models, cubes, dimensions, rules, and reports within an iterative development environment Developing … solutions to integrate between IBM Cognos Analytics, Planning Analytics with Watson (PAW) dashboards and IBM Planning Analytics reports (PASS) Working with stakeholders, analysts and other developers to understand systems and collaborate on the implementation of appropriate Planning Analytics solutions Translating business requirements and rules in into technical design specifications Building more »
Data Engineer - Manchester - £35,000 - Hybrid Working My client is hiring a full time Data Engineer to contribute to their expanding data science and analytics initiatives. Your role involves designing, building, and maintaining data pipelines, ensuring seamless data flow into their central Microsoft Azure repository. Collaborate with Data Analysts and more »
are proud to support a leading Global Insurance Broker, on searching for an adaptable, personable and driven Analyst. You will be joining their People Analytics function on a permanent basis, to be responsible for both people and commercial agendas, maintaining people systems and reporting, delivering ad hoc analysis and supporting more »
teams to understand business requirements and translate them into technical solutions. Utilize Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to build robust data architectures. Implement best practices for data governance, security, and compliance. Skills and Qualifications: Proven experience as a Data Engineer with expertise more »
Tableau and Excel. · Familiarity with GA4. · Strong problem-solving and analytical skills. · Effective communication and time management abilities. Keywords: SQL/ETL/Google Analytics/Tableau/PowerBI/Power BI/Data Analyst Apply now for a more detailed conversation and full spec. Sam Payne @ The One Group. more »
in adopting new data engineering trends, such as generative AI and vector databases. Hands-on experience with data platforms, integration tools, data warehouses, and analytics in a Cloud environment, preferably Google Cloud. Strong problem-solving abilities and effective communication skills. Openness to learning and adapting to new technologies and methodologies. more »
play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists. Responsibilities: Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems. Collaborate with product development teams more »
national sporting bodies, professional sports clubs and leagues, and investors on their most critical and complex issues. We are building our data science and analytics practice and we are looking for a driven and proactive data analyst to join our team. As part of a growing area, you will get more »
PowerBI Developer | Permanent | Hybrid, London Role overview Sitting within the international data analytics team, this new role will focus on developing our reporting offering across our offices. We are looking for an experienced professional, ideally from the insurance industry, who can proactively work with key business stakeholders to develop reports more »
Product Delivery. Tech SQL, including analytic functions & database query performance tuning Data integration tools (eg Oracle Data Integrator (ODI); Azure Data Factory/Databricks) Analytics platforms (eg OBIEE/OUA and/or Power BI) Powerapps Cloud services (eg MS Azure; AWS; Oracle Cloud Infrastructure) Experience A track record of more »
user manuals and requirements. Continuously monitor tool performance, identifying areas for improvement and proposing new features. Skills: Bachelor's degree in Environmental Science, Data Analytics, or a related field, OR equivalent experience in a quantitative field. 1-3 years of experience in Data Analysis, Product Analysis, or a related role. more »
City of London, London, United Kingdom Hybrid / WFH Options
Tech Talent Identified Ltd
A Data Platform Product Manager required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. You will be required to build strong relationships across the client and use a strong commercial mindset more »
or a related subject · Excellent knowledge of ML model development and the ML Lifecycle Essential skills · Problem-solving · Programming - Python · Statistics · Data science · Data Analytics · Data visualization · Knowledge of common ML Tools and Platforms · Machine learning: supervised & unsupervised · Instruct external annotators and manage annotation tasks · Written and verbal communication skills more »