126 to 150 of 1,134 Analytics Jobs with Hybrid or WFH Options

Work on the leading data analytics platform for enterprise transportation & trucking companies. The platform integrates with the leading IT systems in the market to provide standardised data sets that help solve some of the most complex challenges they face as logistics operators. The ideal candidate will be an experienced data more »

run without error and are delivered within SLA. The role will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI. Previous commercial experience in a data engineering/development role would be desirable, but is more »

skills Strong Azure data skills, including: Azure Data Factory V2, Azure Data Lake Storage V2, Azure Databricks, Azure Function Apps& Logic Apps, Azure Stream Analytics, Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write more »

Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week in the office. 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 »

substantial and diversified customer base. They are seeking a skilled, data focused Python Developer who can design and develop their innovative AWS-native data analytics platform. As a Python Developer, you will be building high-performance, high-throughput data pipelines for trading exchange, FX and fundamental data. The ideal candidate 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 »

substantial and diversified customer base. They are seeking a skilled, data focused Python Developer who can design and develop their innovative AWS-native data analytics platform. As a Python Developer, you will be building high-performance, high-throughput data pipelines for trading exchange, FX and fundamental data. The ideal candidate more »

Company Description Stratiphy is a London-based crowdfunded startup specializing in personalized investment strategies. Leveraging professional-grade trading analytics and user-friendly investment strategies, we empower clients to make informed investment decisions. As pioneers in retail investing, we integrate cutting-edge artificial intelligence technologies to revolutionize the industry through data more »

Company Description Stratiphy is a London-based crowdfunded startup specializing in personalized investment strategies. Leveraging professional-grade trading analytics and user-friendly investment strategies, we empower clients to make informed investment decisions. As pioneers in retail investing, we integrate cutting-edge artificial intelligence technologies to revolutionize the industry through data more »

to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid knowledge of Data Governance, Data Catalog, and Master Data Management. Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please more »

through to deployment. Engage in client interactions to highlight the technical benefits of AI solutions and foster lasting strategic relationships. Contribute to expanding Generative Analytics vision, transforming complex data into actionable insights. Assist in the development of new tools and methodologies, reinforcing leadership in the AI sector. Required Skills and more »

strategic expertise that empowers businesses to optimize performance and achieve sustainable growth on a global scale. Expanding their scope into business intelligence and advanced analytics, the consultancy is poised to integrate sophisticated technologies, including Blazor, .NET Core, C#, MVC, and Azure, to enhance data-driven decision-making processes for their more »

SQL programming, including designing and optimising complex queries and databases ETL process design using Azure Data Factory Data warehouse development experience using Azure Synapse Analytics Experience with Snowflake would be desirable but not essential Excellent communication and stakeholder management skills Benefits: Salary up to £85,000 depending on experience Bonus more »

behaviour metrics such as churn, conversion rates, and LTV. Collaborate with marketing to refine campaigns and enhance user re-engagement. Qualifications: Proven background in analytics or a related field. Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in more »

the customer journey and touchpoints YOUR SKILLS AND EXPERIENCE: To be successful in this role, you should: Have a proven track record in product analytics Demonstrate excellent proficiency in SQL for analysis, and preferably experience with R or Python for modeling Possess extensive A/B testing/MVT experience more »

Senior Data Scientist – London | Hybrid – £70,000 - £90,000 I’m working with data and analytics firm boasting a Data and Development team of 10+. Thanks to growth, they're now looking for an additional senior to join the firm and continue driving growth in the Machine Learning areas of more »

Senior Data Scientist – London | Hybrid – £70,000 - £90,000 I’m working with data and analytics firm boasting a Data and Development team of 10+. Thanks to growth, they're now looking for an additional senior to join the firm and continue driving growth in the Machine Learning areas of more »

a Data Engineer your key responsibilities will include: To lead the Design, development and maintenance of new force BI capabilities in support of the analytics strategy and vision. To support the analytical community by providing access to data sources, building and maintaining semantic access layers. Capture and translate business requirements more »

advantage in the telematics market. Your Profile: -- Degree qualified in computing or IT -- Familiarity with IoT platforms, cloud services (AWS/Azure), and data analytics tools -- Strong verbal and written communication skills for effective interaction -- Decision-making skills, especially in high-pressure situations -- Flexibility to adapt to changing circumstances and more »

the end user (nominally a member of HR), who is able to view complaints through a SaaS platform. This allows them to use data analytics to pinpoint where the problem is and how they can address it. With their funding giving them a good runway they’re looking for a more »

the end user (nominally a member of HR), who is able to view complaints through a SaaS platform. This allows them to use data analytics to pinpoint where the problem is and how they can address it. With their funding giving them a good runway they’re looking for a more »

Artificial Intelligence or Business Intelligence. You'll need a solid grounding in more than one area. Advanced experience in Cloud Architecture, designing data/analytics solutions in the cloud, ideally GCP. In practice, not just theory. Excellent communication skills Why else should this role be of interest? We offer excellent more »

team, highlighting key metrics for performance across all products and services. Use Big SQL/BigQuery for complex data analysis, utilise Firebase and Google Analytics and leverage Looker Studio for visual reporting and insight. Spearhead app attribution processes, identifying and optimising acquisition and retention channels, including push notifications and email more »

this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described it as ‘gold dust’ because of its more »