51 to 75 of 3,527 Remote Analytics Jobs

Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level More ❯

Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level More ❯

SQL Server (SSIS, T-SQL, stored procedures, functions, views, queries, datatype conversions). Experience working with APIs, Postman/SOAPUI, MS D365, ServiceNow, Azure Analytics tools, Azure Synapse, and other BI tools is a plus. General Business Skills Excellent communication skills to bridge business requirements and technology. Analytical, methodical, and More ❯

SQL Server (SSIS, T-SQL, stored procedures, functions, views, queries, datatype conversions). Experience working with APIs, Postman/SOAPUI, MS D365, ServiceNow, Azure Analytics tools, Azure Synapse, and other BI tools is a plus. General Business Skills Excellent communication skills to bridge business requirements and technology. Analytical, methodical, and More ❯

into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

Manchester, UK Industry: Retail About the Role: Our UK leading retail client are seeking a highly skilled Senior Data Scientist to join their dynamic analytics team in Manchester. In this role, you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. More ❯

into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

and collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams More ❯

product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or More ❯

product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or More ❯

engineering, report preparations, and ML tasks. Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions. Collaborate with the Data & Analytics Team on data infrastructure and ingestion. Discuss data inputs with Business Development and collaborators, advising on data integration. Ensure data accuracy and consistency across sources More ❯

experience with Python, preferably PySpark. Excellent communication and stakeholder management abilities. Strong expertise in Azure (AWS considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of More ❯

team and play a key role in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your More ❯

reporting framework, which links revenue, cost, and operational KPIs. Build and maintain dashboards and reporting assets across the database, CRM, BI tool and financial analytics tools. Partner with the Data Engineering team to validate and enhance source data pipelines. Finance & Commercial Collaboration; Translate commercial insights and questions into BI deliverables More ❯

reporting framework, which links revenue, cost, and operational KPIs. Build and maintain dashboards and reporting assets across the database, CRM, BI tool and financial analytics tools. Partner with the Data Engineering team to validate and enhance source data pipelines. Finance & Commercial Collaboration; Translate commercial insights and questions into BI deliverables More ❯

enhancing its capabilities and data in line with business and regulatory requirements. XMC provides a suite of services across our product offering, including data analytics, automated reporting solutions, dashboarding, rules based decision engines, workflow ticketing, data management and data governance tooling with a primary focus on user experience and outcome More ❯

analysis and visualization tools, data storage, network connectivity, and virtualization/cloud environments. Perform data profiling to understand data nuances, build data pipelines and analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and More ❯

Modelling and data science practices Experience of or willing to learn the following technologies: Microsoft Fabric or its related technologies: Azure Databricks Azure Synapse Analytics Azure DW Azure SQL DB Azure Data Factory Azure Data Lake Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps. Familiarity with optimizing More ❯

customer success, or related areas. Project Management Professional (PMP) or similar. Preferred Qualifications: Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data More ❯

Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role You will be joining our dynamic and growing team of analytics product specialists, united by a shared mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior … to flagship projects that set industry benchmarks. In this role you will be delivering at least one of the following areas: Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data … processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through More ❯

We are now looking to bring on board a subject matter expert on data analytics and structured data systems to help grow the Data Analytics practice for the EMEA region. As Director, you will collaborate and offer global data analytics support to service client needs and business opportunities in Europe … and Asia Pacific. This role has three main focus areas: Lead and manage projects concurrently Assist in the development of business offerings for data analytics and technology services globally Generate thought leadership and instil best practices in data analysis for regulatory, compliance, and business issues The Director should have experience … The Director will work with the Compliance, Forensics, and Intelligence team, who may function as the subject matter experts but be in need of analytics assistance. Data analytics consulting Design and implement qualitative and quantitative data analysis methodologies to discover meaningful trends, red flag behavior, and optimize operational efficiencies Create More ❯