51 to 75 of 1,069 Analytics Jobs with Hybrid or WFH Options

Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualisation, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for a Data Platform Engineer (Azure) to more »

Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for a Data Platform Engineer (Azure) to more »

stack and Databricks experience desirable Number of direct reports 1+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops 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 »

is a platform for the successful candidate to bring best practice and influence ways of working. Essential skills: System integrations experience (rather than BI Analytics) Strong understanding of SQL OR oracle databases Microsoft integration tools (SSIS, SSRS, Azure data factory) Good level of communication Desirable skills: Experience with administration and 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 »

you will play a crucial role in building, testing, and maintaining their data platform. This platform serves the critical needs of various departments including analytics, data science, operations, and marketing. You will be instrumental in designing and maintaining their data stack, including data pipelines and data warehouse. They're currently more »

to engage with and succeed with their own use of the data products you help deliver. Directly contributing to enhancing data accessibility, quality, and analytics capabilities within the university. Duties: Technical work to model data and Design and Develop Data Pipelines Undertake and manage the development of data models Contribute more »

tenant) with in-depth knowledge of the following: Active Directory/Entra ID and Infrastructure Service Backups Compute (IAAS VMs) Migrate Monitor and Log Analytics Networking Site Recovery (ASR) Storage Templates (JSON) Defender for Cloud and Endpoint knowledge of a scripting language (PowerShell, Bash, Azure Cli) with helpdesk IT Service more »

of the following: Azure Active Directory/Entra ID and Infrastructure Service Azure Backups Azure Compute (IAAS VMs) Azure Migrate Azure Monitor and Log Analytics Azure Networking Azure Site Recovery (ASR) Azure Storage ARM Templates (JSON) Microsoft Defender for Cloud and Endpoint In-depth knowledge of a scripting language (PowerShell more »

data to support our Marketing and Buying teams to deliver targeted marketing campaigns and support operational decision-making. For example, we provide insight and analytics on where to apply marketing for Ramadan, and where to run more lines on our price match campaigns. On top of this we receive many more »

Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as analytics and engineering IDEAL CANDIDATE Minimum 3 years of experience in data operations, reporting, or a related business intelligence practice Experience of working with AWS Redshift more »

business area of AJ Bell. The Data and Insights team is a small but dynamic and experienced group of SMEs who work across Google Analytics, Bloomreach CDP and BI/data engineering. The team is the first port of call for insights from our customer-centric marketing, product, PR, content … AJ Bell platform and systems Good knowledge of SSAS Some knowledge of Customer Data Platforms (Bloomreach) would be an advantage Some knowledge of Google analytics and mining web logs advantageous Knowledge of Business Intelligence strategies Skills Proficiency in data analysis tools and programming languages such as SQL, Python, R, or more »

a Power BI Developer, to aid them on their data transformation project. Working with their newly created data warehouse, the role will provide insightful analytics to help move the business forward. Role: Power BI Developer Employment type: FTC (12 Months) Location: London (Hybrid – once a month) Salary more »

to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship more »

product managers, data scientists, and stakeholders? If so, we have an exciting opportunity for you! What you will be doing: Develop proprietary data and analytics solutions Provide technical guidance and code reviews to other team members Design, develop and deploy high-performance solutions that process large volumes of data Must more »

experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such as Excel, SQL, Tableau, Google Analytics, or similar software. Strong analytical skills with the ability to interpret complex data and extract meaningful insights. Excellent communication and presentation skills, with the ability more »

as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so the scale of our data, we are currently working on several initiatives to improve our more »

skills Experience working with Azure Experience with data warehousing A degree in computer science or software engineering Experience with Azure resources such as Synapse analytics, Data factory, Logic app Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact or call more »

consultancy client. The successful candidate will be responsible for designing, developing, and maintaining KDB databases, as well as creating and optimizing Real Time data analytics solutions. You will work closely with the technology team to enhance our data management systems, ensure data accuracy and integrity, and help us make data more »

amounts of customer data, as well as help them make data driven decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth. more »

Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced DAX is essential unless your work experience suggests more »

line manager. - Support in the preparation of business cases. Candidate profile: - Minimum of 3 years' experience in a related field i.e. data visualization and analytics, working with businesses to shape and their business strategies, improve operational efficiency and performance. Experience in a retail environment is desirable. - Consolidation of data from 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 »

Modelling & Resource Planning Analyst position by applying as directed. Longreach Recruitment are trusted and proven UK & EMEA recruitment experts within Resource Planning & Workforce Management, Analytics, and Customer Contact Technologies. more »