126 to 150 of 19,460 Analytics Jobs

a company that's empowering people to unlock their digital potential! To get a sneak peek into our culture, find us on Optimizely is seeking an experienced Customer Success Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across our Customer Success teams. This position will be responsible for … optimization strategies. • Partner with, Sales, Marketing and Product teams to implement data-informed actions and measure impact. • Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs. • Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind Customer Success performance trends. • Translate technical data More ❯

Data and Analytics Associate, Transactions Management Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co-investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients … specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. The Data and Analytics (DnA) team is a newly established function that integrates the Data Integrity and Portfolio Analytics teams. DnA plays a critical role in supporting key functions across the organization, including Investment … ecosystem, ensuring accurate ingestion and integrity of Pantheon’s core data —including client, managed fund, deal, investment, and asset data. This disciplined approach to data stewardship powers actionable portfolio analytics that are essential to: Enhancing the investment decision-making process Improving transparency and engagement with clients Enabling data-driven portfolio and financial oversight By centralizing and reinforcing data governance and More ❯

responsibility will be to design, deploy, and maintain cloud-based solutions primarily on the Microsoft Azure platform. You will work closely with our clients, development teams, infrastructure teams, data & analytics team, and other stakeholders to ensure the successful implementation and operation of cloud services. Your role will involve designing and implementing scalable, secure, and highly available cloud architectures, as well … collaboration skills to work effectively with teams and stakeholders. Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect/Senior Architect Data Engineers Analytics Developers (Power BI, Tableau) External Clients Operations Leads and Mid-Level Managers Data Owners, Data Stewards Enterprise Information Management and Data Governance Team We expect the candidate to uphold Crowe More ❯

with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market More ❯

with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market More ❯

with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market More ❯

with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market More ❯

with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Analytical Thinking, Analytical Thinking, Analytics, Commercial Acumen, Commodity Risk Management, Communication, Creativity and Innovation, Credit Risks, Curiosity, Data visualization and interpretation, Decision Making, Excel Reports, Group Problem Solving, Internal control and compliance, Market Knowledge, Market More ❯

to fostering a collaborative and inclusive work environment where creativityand innovation thrive. About the Role We're looking for a detail-oriented Senior Data Operations Analyst to join our analytics team. In this role, you'll focus on analyzing operational data across multiple business functions to transform complex business questions into actionable insights, with a strong emphasis on operational dashboard … development and reporting. Skills Cross-functional Operational Analytics: Strong analytical skills with experience extracting insights from operational data across finance, marketing, sales, customer success, and product functions Advanced Dashboard Development: Extensive experience creating compelling visualisations and interactive dashboards that effectively communicate operational metrics and KPIs Technical Skills: Proficiency in SQL, data analysis in Python, and advanced experience with BI tools … like Metabase, Looker, Tableau, or Power BI Business Operations Knowledge: Deep understanding of operational metrics including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly More ❯

central role in supporting long-term growth, performance, and value creation. About the Department The Business Intelligence team is a core function responsible for managing the entire reporting and analytics lifecycle-from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools … and platforms. With a focus on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value. Key Responsibilities Champion analytics and business intelligence initiatives across all departments, promoting a culture of data-led decision-making. Serve as a subject matter expert for the data platform and reporting tools, offering guidance to key stakeholders. … and manipulate data across large-scale database environments. Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance. Lead delivery of advanced analytics and AI-driven projects aligned with business strategy. Analyse performance data to uncover trends, drive insights, and highlight strategic opportunities. Collaborate closely with stakeholders to define reporting requirements and ensure More ❯

We are looking for a talented and experienced Data Analyst with expertise in data analytics and digital analytics to join our team. As an Ecommerce Data Analyst at ProCook, you will play a pivotal role in website performance, customer behaviour, conversion metrics to inform strategic decisions and optimise the user experience on our site. Additionally, you will also report and … analyze sales data to key stakeholders on a regular basis. Key Responsibilities: Utilise Google Analytics 4 (GA4) and other analytics tools to track, measure, and analyse key eCommerce metrics and customer journeys. Prepare PowerBI/Looker Studio Dashboards for Ecommerce team and other teams on a regular/ad-hoc basis Implement and maintain tracking configurations, event tagging, and custom … KPIs, highlighting areas of success and areas for improvement to inform strategic decision-making and campaign optimisation. Stay informed about industry trends, best practices, and emerging technologies in eCommerce analytics, data visualisation, and user experience design. Support Marketing and Trading with budget forecasting Qualifications: 2+ years of experience working as a Data Analyst or similar role, with a focus on More ❯

decisions that fuel innovation and operational excellence. Based from our Bristol office working on a hybrid basis (3 days in the office), you'll lead a small team of analytics professionals, ensuring the delivery of actionable insights to optimise product performance, enhance customer experience, and shape the future direction of the business. This role offers the opportunity to define the … the data culture, and make a tangible impact in a dynamic, fast-paced environment. Key areas of responsibility will include: Strategic leadership Defining and executing a management information and analytics strategy that supports Zellis' business goals. Mentoring and developing a high-performing team of analysts and data specialists, fostering a collaborative and innovative work culture across the Business Units and … Group. Collaborating with executive leadership to identify data opportunities and inform strategic decision-making. Data analytics and insights Analysing financial, customer, product, and operational data to deliver actionable insights that drive performance and revenue growth. Identifying key performance indicators (KPIs) relevant to the software sector, enabling effective tracking of organisational success. Ensuring key metrics are clearly defined. Leveraging predictive analytics More ❯

and actionable insights to support business goals and optimize operations. Reporting: Develop and deliver regular reports to key stakeholders, using visualization tools when required (e.g., Tableau, Power BI) User Analytics: Analyse user behaviour, engagement, and retention metrics to provide actionable insights that support product and service improvements. Requirements Essential Qualifications & Skills: 2+ years of experience in data analysis or a … similar role. Proficiency in SQL and a programming language such as Python or R. Experience in user analytics, including tracking, analysing, and interpreting user behaviour data. Understanding of API data consumption and integration. Strong problem-solving skills and an analytical mindset. Ability to communicate complex findings to non-technical audiences. Desirable Qualifications & Skills: Experience with data visualization tools such as … Power BI (preferred but not required). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of big data tools (e.g., Hadoop, Spark). Certifications in data analytics or related fields (e.g., Microsoft Certified: Data Analyst Associate). Hiring Process: 15 min call with Talent Acquisition Technical Test Final interview with the hiring team We offer: Experience a More ❯

decisions that fuel innovation and operational excellence. Based from our Bristol office working on a hybrid basis (3 days in the office), you'll lead a small team of analytics professionals, ensuring the delivery of actionable insights to optimise product performance, enhance customer experience, and shape the future direction of the business. This role offers the opportunity to define the … the data culture, and make a tangible impact in a dynamic, fast-paced environment. Key areas of responsibility will include: Strategic leadership Defining and executing a management information and analytics strategy that supports Zellis' business goals. Mentoring and developing a high-performing team of analysts and data specialists, fostering a collaborative and innovative work culture across the Business Units and … Group. Collaborating with executive leadership to identify data opportunities and inform strategic decision-making. Data analytics and insights Analysing financial, customer, product, and operational data to deliver actionable insights that drive performance and revenue growth. Identifying key performance indicators (KPIs) relevant to the software sector, enabling effective tracking of organisational success. Ensuring key metrics are clearly defined. Leveraging predictive analytics More ❯

insights and support strategic decisions. Mentor and guide junior analysts, fostering skill development and knowledge sharing. Immerse yourself within the Engineering COO team to design, develop, and implement business analytics solutions using Qlik Sense Enterprise and Qlik Cloud. Design and enhance Qlik Cloud solutions incorporating AI-driven analytics, NLP, and ML-powered insights. Build an AI-ready data infrastructure that … is scalable, governed, and designed to support advanced analytics. Ensure data integrity, quality, and effectiveness in all work outputs. Support regulatory compliance initiatives by embedding governance and traceability into analytics workflows, aligned with DORA and similar mandates. Serve as a trusted advisor to business and IT stakeholders, translating complex data needs into scalable and intuitive applications that highlight opportunities and … Cloud certification is required, along with proven experience in both backend and frontend Qlik Sense or Qlik Cloud development. Over five years of experience in BI, reporting, or data analytics, with expertise in Power BI, QlikView, or Qlik Sense. Strong technical skills in T-SQL, relational databases, DAX, Power Query, and Excel (Python/R is a plus). Have More ❯

meeting our clients' project requirements. Job Description: We are looking for a skilled and experienced Senior Data Analyst to join our team, as we expand on our data and analytics space, to fully exploit our data and help drive data-driven decision-making. This role requires a hands-on approach to data analytics, working across multiple stakeholders and managing complex … Desirable Skills Working knowledge of Python for data manipulation and automation. Knowledge of data warehousing concepts and best practices. Familiarity with Microsoft Fabric, including its use in data engineering, analytics, and real-time data processing. Experience with Power Apps for building low-code applications that integrate with data workflows. Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing … data insights and decision-making. Exposure to machine learning or advanced analytics techniques is a plus. Why Join Us? Be part of a forward-thinking team, helping to build the culture where data drives decision-making. Work with a diverse range of stakeholders across multiple functions. Enjoy opportunities for professional growth and development. What We Offer: We offer a highly More ❯

Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting … property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling with analytics and automation tools that streamline workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel … Role Purpose Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a More ❯

Data Engineer and Platform Lead Location: Hybrid/Remote Position: Staff We are looking for a highly skilled and experienced Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The successful candidate will be responsible for delivering scalable data solutions on the Global Data Platform, managing the platform, and driving its further development. This role requires proficiency … business requirements. Optimize the platform for performance, security, and scalability, ensuring alignment with best practices. Design and develop scalable ETL pipelines and data solutions using Azure Data Factory, Synapse Analytics , and related tools. Work closely with stakeholders to understand business needs and translate them into actionable data solutions. Lead and mentor the Data & Analytics team, ensuring the smooth operation of … data pipelines and alignment with organizational objectives. Responsibilities: Team Leadership and Coordination: Provide technical guidance and mentorship to the Data & Analytics team. Oversee the team’s Agile processes including sprints, ask prioritisation and issue resolution Define best practices for data pipeline design, development, and maintenance. Coordinate with the solution architect to ensure platform architecture meets current and future requirements. Act More ❯

Intelligence (FDI) Consultant , you will be responsible for leading and managing the implementation of Oracle Fusion Data Intelligence (FDI) solutions. Your expertise in Oracle FDI architecture, data modelling, and analytics will be essential in providing strategic insights, designing scalable solutions, and driving data-driven decision-making for our clients. This role requires a deep understanding of Oracle Fusion Data Intelligence … Cloud ERP, HCM, and SCM. You will work closely with business stakeholders, analysts, developers, and project managers to ensure the successful execution of end-to-end data intelligence and analytics solutions. Your role will also include training super users, knowledge transfer, and providing technical leadership on best practices for data extraction, transformation, and reporting. Roles and Responsibilities You will: Lead … configuration, and customisation of Oracle Fusion Data Intelligence (FDI) to align with business needs. Work closely with clients to understand business objectives, data sources, and reporting requirements, ensuring optimal analytics solutions. Design and develop FDI-driven reports, dashboards, and predictive analytics to enhance decision-making capabilities. Provide technical expertise on Oracle FDI architecture, including semantic models, data pipelines, and performance More ❯

assets within a specific data domain (e.g., Finance, Supply Chain/Purchasing, Demand B2B, Demand B2C, R&D) and the associated roadmaps towards unlocking these in alignment with the analytics product development strategy and priorities. The role bridges str ategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What … lifecycle management, including acquisition, storage, transformation, and archiving processes. Monitor the operational performance of data systems and resolve escalated issues. Optimize processes to improve data availability, reliability, and usability. Analytics Enablement Support analytics and reporting needs by ensuring the availability of high-quality, well-documented, and governed datasets. Partner with analytics and data science teams to deliver insights and drive More ❯

location. Induction, training, and company meetings are conducted at both sites, with regular gatherings typically on Wednesdays or Fridays. Responsibilities: Working on projects utilizing Microsoft Azure and SQL Data Analytics stack Meeting the expectations and requirements of internal and external customers Supporting team development Contributing to the community, both internal and external Qualifications: Experience delivering Microsoft Azure/SQL Data … Analytics solutions Proficiency in written and spoken English Strategic and operational decision-making skills Excellent interpersonal skills Interest in exploring and sharing new technologies Ability to guide, influence, and develop others Degree in computer science, data analysis, or related field (preferred) Microsoft certification (advantageous) Technical Skills: Comfort with at least three of the following core technologies and interest in at … least four others: SQL Python Power BI/Analysis Services/DAX Data Modelling/Data Warehouse Theory Azure Fundamentals Additional desirable skills include Azure Databricks, Synapse Analytics, Data Factory, DevOps, MSBI stack, PowerShell, Azure Functions, PowerApps, Data Science, and Azure AI services. Certifications such as Databricks Certified Associate/Professional and Microsoft Azure Certifications are beneficial but not mandatory. More ❯

develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data … engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/… And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL databases, data modeling, and More ❯

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯

intelligence, insights and crucial management information (MI) reports. Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting. Other Responsibilities Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics. Innovation and Improvement: Explorer new insights and trial solutions … collaboration skills. Able to work with C-suite level stakeholders. Data curious, aware of how to use data effectively and interest in new/emerging trends in the data analytics space. Experience with one or more of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable More ❯