101 to 125 of 1,296 Analytics Jobs in the South East

of customer acquisition and help calculate the ROI/attribution of each channel to desired outcomes. Experience in working with data coming from Google Analytics, Google Ads, Google shopping, Meta, Bing etc. would be well received. Work with their internal marketing team to Inform and improve customer loyalty programmes to More ❯

vs. velocity. Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelor's degree in software engineering, computer science, data analytics or a related field. 1 - 3 years of experience working as a business analyst, product owner or similar role. Highly motivated self-starter with a More ❯

data flows between key platforms. Establish governance frameworks to improve data integrity, lineage, and compliance with industry standards. Lead initiatives to enhance reporting and analytics capabilities by ensuring clean, structured, and well-integrated data sources. Technology Selection & Innovation Evaluate emerging technologies, trends, and vendors to drive innovation and maintain a More ❯

education, experience and skills Bachelor's degree in a quantitative area, Master/Doctor's in a quantitative area is preferred. 8+ years of analytics/insights experience. An analytical mindset coupled with significant project management experience - PMP or similar certifications is a plus. Experience with assessing, managing, quantifying, and More ❯

architecture and interpret into a build plan. Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. Delivering large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best More ❯

architecture and interpret into a build plan. Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. Delivering large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best More ❯

up that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we’ve developed More ❯

Recommendations: Continuously analyze data to identify trends, uncover inefficiencies, and recommend strategies to enhance franchise performance. YOUR RECIPE FOR SUCCESS: 6+ years in business analytics, franchise operations, or a related role within QSR, retail, or multi-unit businesses Experience working with franchisees or external partners on performance management. Proficiency in More ❯

Automating deployment processes. Implementing security best practices to protect cloud infrastructure and data. Identifying and resolving performance bottlenecks. Desirable knowledge & experience: Experience with data analytics and Big Data technologies. Knowledge of cloud security best practices and compliance standards. Experience with agile development methodologies. GCP certifications (e.g., Google Cloud Certified Professional More ❯

external best practices, propose best option for introduction (PoC, prototype, pilot,….) Essential Experience & Skills Master’s degree in data science, Computer Science, Business Analytics or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of More ❯

management experience Strong written, verbal, non-verbal, presentation communication skills Leadership presence, acumen and communication Comfort with generating, supporting and assessing reporting, metrics and analytics to guide decision-making What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The More ❯

benefits that enhance the product value. Create optimization models and dashboards. Connect to your skills and professional experience Previous experience in product management, data analytics, lease advisory services, lease brokerage and/or corporate real estate. Must be a self-starter with demonstrated experience launching a new product or service More ❯

to ensure seamless integration and data flow between systems. Continuous Improvement : Monitor process performance post-implementation, identify opportunities for improvement including AI/advanced analytics, and define roadmap to adapt processes to evolving business needs. Governance : Establish performance metrics and governance frameworks for Demand Planning process ensuring compliance, risk management More ❯

to ensure seamless integration and data flow between systems. Continuous Improvement : Monitor process performance post-implementation, identify opportunities for improvement including AI/advanced analytics, and define roadmap to adapt processes to evolving business needs. Governance : Establish performance metrics and governance frameworks for Demand Planning process ensuring compliance, risk management More ❯

in the Data Capability. You will have an extensive background in delivering innovative, tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business … problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics problems (budget forecasting, customer segmentation, price/volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different … available data. Technology & Infrastructure Advisory: Assess and recommend data science tooling, platform architecture (cloud/on‑premise), and MLOps practices to ensure scalable, maintainable analytics pipelines (including API calls to various services) What You’ll Bring: Extensive experience in data strategy and analytics consulting , ideally working with management consultancies or More ❯

is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data Factory (ADF … populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central to the role. You will work within an Agile Scrum environment, using Azure DevOps for … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced knowledge More ❯

that the correct tags are implemented across our website, digital platforms and channels. This role ensures that relevant information from other systems (such as analytics, marketing, and e-commerce platforms) is tagged accurately, captured, and properly routed to track user behaviour, conversions, and other key metrics. The Tag Manager will … work closely with technical, marketing, analytics teams and third-party agencies to implement and manage tagging strategies that enhance data tracking, reporting, and optimisation across the business. About the Role This is a high-impact position within the Digital & Data division, responsible for designing secure, scalable, and high-performing microservices … systems is captured and transmitted accurately. Work with web developers, marketers, and data analysts to ensure seamless integration of tracking codes and tags with analytics and marketing systems including cookie management. Tag Auditing & Quality Assurance Regularly audit and monitor the performance of tags to ensure that data is being captured More ❯

Analytics Manager - Exclusive Opportunity!! I am working exclusively with a leading business based in Hampshire. They are seeking a strategic and hands-on Analytics Manager to lead the centralisation and optimisation of their analytics function. Working within a manufacturing environment, this role will be pivotal in driving data-driven decision … with Sales, Engineering, and other key business functions you will ensure cohesive data strategy and reporting alignment. Key Responsibilities: Lead the centralisation of data analytics across the organisation, ensuring consistency, accuracy, and accessibility of business insights. Develop and maintain dashboards and reports using Power BI and Crystal Reports, with data … requirements into analytical solutions, working closely with cross-functional stakeholders. Train and support end-users in the use of reporting tools and interpretation of analytics outputs. Skills & Qualifications The ideal candidate will possess the following mix of skills and experience: Bachelors’ Degree in Data Analytics, Business Intelligence, Computer Science, or More ❯

DATA AND ANALYTICS CONSULTANT UP TO £38,000 LONDON – HYBRID – 2X A WEEK *Please note, you must be a UK resident with full right to work* THE COMPANY This mid-size Performance Marketing agency has global offices and works directly with some major clients in a range of sectors. THE … join an agency early on in their career and work on a range of projects. Ideally you’ll already have a broad scope of analytics experience, but want support to further develop your technical capabilities. SKILLS + EXPERIENCE Experience using SQL and BigQuery in a working environment Have an interest … in Digital Analytics – bonus points if you’ve used Google Analytics or similar Understanding of Digital Marketing and how things work across SEO, PPC and web analytics Must have experience with at least one data visualisation tool – open to any, e.g. Looker, Tableau, Power BI or equivalent HOW TO APPLY More ❯

Engineer to conduct multiple proof of concepts using different technical solutions. The following skills/experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like More ❯

Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

cross-functionally, preparing and presenting reports to guide business strategy and project outcomes. Essential tools - Power BI Python BigQuery Google Cloud Platform Looker Google Analytics 4 (GA4) Solid understanding of CRM data structures and behaviours Comfortable working with large, complex datasets Experience in sports or retail is prefferable More ❯

for managing infrastructure resources and preventing cost overruns. Maintain and improve existing systems, ensuring high availability and cost-efficiency. Implement proactive alerts, dashboards, and analytics to provide real-time visibility into infrastructure spending. Collaborate closely with DevOps, Finance, and Product teams. Troubleshoot and resolve platform issues, working closely with Sprinklr More ❯

innovative solutions. Key Responsibilities: Develop advanced models using machine learning and AI. Code algorithms in C# with Python for data analysis. Collaborate with trading, analytics, and engineering teams. Candidate Requirements Experience: 3+ years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# More ❯

of risk modelling capabilities across various asset classes. To be considered for the role applicants must have a strong background in data science or analytics, ideally within a financial institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency More ❯