26 to 50 of 2,042 Remote Analytics Jobs

an agile environment Strong leadership and communication skills, with the ability to engage confidently with clients, including C-level stakeholders Desirable Skills (Bonus Points) Experience with data engineering and analytics using native cloud tools (AWS Glue, Azure Data Factory, GCP Dataflow, etc.) Familiarity with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application More ❯

and deliver actionable data solutions Automate and maintain recurring reports in Power BI and SSRS Promote a data-driven culture by advocating best practices in BI and self-serve analytics In order to be the successful BI Developer and have a chance to gain such an exciting opportunity you will ideally need to have the following: 4+ years of experience More ❯

strengthen defence -in-depth strategies. Design and deploy Web Application Firewalls (WAFs) and security controls to protect modern applications from threats and vulnerabilities. Guide the integration of AI and analytics into security operations working with data scientists and AI engineers. Mentor and coach engineers, fostering a high-performing, inclusive, and growth-oriented team culture. WHAT YOU'LL NEED We're More ❯

a related field. D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced More ❯

changes/improvements Excellent communication, consulting and organisational skills Able to build and maintain strong working relationships and credibility with peers within IT and across the business community Proven analytics and problem-solving skills Excellent team player approach High standards of integrity Self-starter, pro-active and able to take the initiative and manage own time Working with geographically dispersed More ❯

platforms. Industry Knowledge: Experience in designing omnichannel contact center solutions, including voice, chat, and AI-driven automation, Workforce Engagement Management (including workforce and quality Management), contact center reporting and analytics tools Agile Methodologies: Experience working within Agile and DevOps frameworks. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. More ❯

Maintaining documentation, including data flow diagrams, technical specifications, and processes. Designing and implementing tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components in Python as part of a unified data pipeline More ❯

services. Basic understanding of programming languages like Python and R is beneficial. Education and Experience: Bachelor's or Master's, or equivalent degree in Computer Science, Data Science, Business Analytics, or a related field, or equivalent. Experience in a consulting or solution design role, with a focus on AI and data-driven solutions. Deep experience in the financial services industry. More ❯

and also demonstrate ownership in handling projects independently Strong project management and organizational skills. Excellent skills, both verbal and written, to communicate effectively with stakeholders Experience with Tableau, Google Analytics, Coremetrics, and Adobe SiteCatalyst (Omniture) is a strong plus Experience with data modeling and data warehousing concepts Exposure to A/B Testing or Multivariate Testing is a plus More More ❯

Analyst will create Gartner research and provide related advice to clients and support the sales force in new sales and client retention. The research provides insight, predictions and actionable advice to clients in the area of AI, GenAI, Machine Learning More ❯

reporting solutions, automating business processes, and integrating data across platforms such as SharePoint, SQL, and Excel. The ideal candidate brings both technical expertise and a practical understanding of business analytics and workflow automation in a federal environment. Key Responsibilities: Design, develop, and maintain Power BI reports, dashboards, and data models using DAX Build and support low-code/no-code More ❯

leadership. Proven experience as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect More ❯

needs and comply with reporting obligations. Skills, Knowledge and Expertise Extensive experience in Data Governance within the Lloyd's Insurance sector Experience in management information, business intelligence, or data analytics roles within the Lloyd's industry. Knowledge of key Lloyd's regulatory returns. Knowledge of Lloyd's insurance operations, underwriting processes, claims management, and key performance indicators (KPIs). Proficiency More ❯

team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

field, or a related field, or equivalent experience. Over 5 years of hands-on experience in Software Engineering, Enterprise Intelligence, including Data Warehousing, Data Management, Data Manipulation, Business Intelligence, Analytics, and the Big Data ecosystem. Proven track record of successfully leading teams of developers, data/software engineers, data analysts, or data scientists for more than 2 years. Proficiency in More ❯

data models and dashboards to provide insights into business operations What You'll Need: Experience working with Tableau or Power BI Bachelor's degree (or equivalent) in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce More ❯

Microsoft Data Engineer for BES Group, you will own the development and implementation of data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory and Power BI. This role is hybrid based in our Manchester office. You will: Work with other members More ❯

industry trends and emerging technologies to continuously improve the Insights department and wider business. What Will Make You Successful in This Role? Experience Strong leadership experience in Data, Insights, Analytics or Business Intelligence departments. An Understanding of the Sustainability & ESG imperative for large businesses in the UK. In-depth understanding of the UK Telecommunication industry, and it's wholesale market More ❯

role will be offered as an initial 12 month Fixed Term Contract. About the role Collaborate with the client success, data science and engineering teams to provide insight and analytics consulting services to clients Work directly with studio clients, their agencies and 3rd party platforms to develop and deliver research and measurement solutions leveraging Vista Group's comprehensive moviegoer dataset More ❯

addition, the role will provide deep analysis (e.g. retention rates, channel performance etc.) and insights to optimise sales and marketing efforts. This role requires a strong understanding of data analytics, customer segmentation, and business intelligence tools, such as Salesforce and Tableau/Power BI. The Responsibilities Data Management & Reporting: Collect, QC, and structure CRM data from various sources, ensuring data More ❯