1 to 25 of 1,151 Analytics Jobs in the South East

edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term … and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure … in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What More ❯

clients to navigate complex challenges and realise strategic outcomes. Role Overview: We are seeking a highly skilled Data Analyst with deep expertise in Power BI to join our growing analytics team. The successful candidate will play a key role in designing and delivering insightful dashboards, automating reporting processes, and supporting the implementation of cutting-edge AI tools across the firm … with deal teams, portfolio managers, and operations to understand business needs and translate them into analytical requirements. Assist in the design and implementation of AI-powered tools for predictive analytics, risk assessment, and operational optimization. Extract, clean, and model data from various internal and external sources, including CRM systems, financial platforms, and portfolio company data feeds. Identify trends, anomalies, and … and analytical models. Qualifications: Bachelor’s degree in a quantitative field such as Data Science, Finance, Economics, Computer Science, or related discipline. 3+ years of experience in a data analytics role, ideally within private equity, investment management, or financial services. Expert-level proficiency in Power BI, including DAX, Power Query, data modeling, and visualization best practices. Strong SQL skills; familiarity More ❯

Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations. You will bring thought leadership in your domain and collaborate with cross-functional teams to implement innovative data solutions that enhance customer experience, drive revenue, and … Data Platform for Food is a strategic Mars Food & Nutrition goal. We aim to harness data and insights to solve critical business problems and simplify the global data and analytics user experience, unlocking growth and operational excellence. What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and … Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure Open AI, GCP, and AWS platforms. 2-4 years of experience in data science roles or 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 ❯

to define reporting requirements for future platforms. Implement and maintain the BI roadmap, ensuring effective report creation, self-service capabilities, and compliance with GDPR. Advocate for BI and Data Analytics capabilities across the organisation. Collaborate with cross-functional teams to align BI priorities and strategies. Define Key Performance Indicators (KPIs) and develop dashboards and automated reports. Provide third-line support … Experience mentoring team members in Power BI development and reporting best practices. Ability to validate data to maintain reporting accuracy. Proven track record of delivering high-quality reporting and analytics on time and within budget. Problem-solving mindset with the ability to influence stakeholders and develop innovative solutions. Excellent written and verbal communication skills. Adaptability to fast-paced environments and … and data management practices including governance, quality, and metadata management (MS Purview). Relevant Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or DP-600 (Fabric Analytics Engineer Associate) are a plus. This role offers an exciting opportunity to play a pivotal role in a growing data team, leveraging cutting-edge BI tools to drive business success. More ❯

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git) If you are interested please apply or send your CV to luke.sandilands@cpl.com More ❯

enior Analytics Data Engineer Location: UK (Hybrid/Remote) Salary: £55,000 - £70,000 A leading Financial Services firm is hiring Analytics Data Engineers to support a major Data Transformation programme. In this permanent role, you'll help design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do … Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh setup Enable self-service insights through intuitive data models and training Own data products end-to-end—from design to continuous improvement Promote innovation and best practices across the organisation What We’re Looking For: Strong skills in SQL More ❯

Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to identify risks and opportunities across portfolios. Drive data quality and assist in the design of data pipelines and reporting frameworks for enterprise-level infrastructure programs. Requirements … plus. Strong analytical, problem-solving, and communication skills. Ability to translate complex data into clear, meaningful visual insights for technical and non-technical audiences. Bachelor's degree in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. More ❯

QA's Data Analyst including Power BI Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight. The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including … operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions. QA's Data Analyst including Power BI Level 4 apprenticeship programme enables your organisation to: Build the skills and capabilities you need throughout your More ❯

in identifying product improvement opportunities in line with business Outcomes and Key Results (OKRs), the Product Owner’s vision and roadmap. As a Senior agile Business Analyst in Data & Analytics, you’ll capture and analyses data requirements, shaping technical design for agile delivery teams. Develop data models, data flows, and other data-related artefacts to visualise data relationships and processes. More ❯

Senior Analytics Engineer London (Hybrid) £80,000 - £90,000 A global, privately-owned media group with brands spanning across publishing, audio, and out-of-home advertising, is seeking an Analytics Engineer to join their growing data team. As the business matures its data capabilities, they are evolving toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. … This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional models, building reusable dbt pipelines, and ensuring the semantic layer meets the needs of Power BI, Looker, and … data handling would also be advantageous, though not required. Strong communication skills to engage with Data Product stakeholders and translate business needs into technical solutions. If you’re an Analytics Engineer with experience in building semantic layers, dimensional modelling, and enabling self-serve BI and data science from a unified data model, this is an outstanding opportunity to shape the More ❯

Job summary The Performance & Business Intelligence Team has a fantastic opportunity for an enthusiastic professional to join our team as Business Analytics Manager. We are looking for a motivated, proactive self-driven individual who is ready and willing to make an impact in our small team. We are a close-knit team and work very collaboratively with our colleagues throughout … Please see attached document for full job description. Person Specification Experience Essential MS SQL Server - development Design and implementation of complex data models used for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes used for Business Intelligence and Advanced Analytics Experience in a supervisory role In-depth knowledge of NHS data and issues Visualization More ❯

deliver, report and manage the team. In full: We are seeking a seasoned and hands-on Reporting Technical Delivery Lead to drive the delivery of our strategic reporting and analytics platforms across our EMEA division. This role is critical in enabling front-office, risk, compliance, and operations teams to make data-driven decisions with speed and confidence. You will lead … a team of delivery resources and BI developers, within a wider data and analytics platforms team, ensuring the timely execution of complex reporting initiatives in a highly regulated, fast-paced environment. The ideal candidate should have a strong background in robust enterprise delivery of reporting/data visualisation platforms, project management, and leadership skills to drive the team towards achieving … delivery. Determining the scope of projects. Ensure timely and high-quality delivery of solutions. Aligning the implementation of the reporting solutions to the agreed strategy of the data and analytics platform. Collaborating with stakeholders in EMEA Data & Analytics Platforms and outside. Especially the rest of IT, the Data Office, colleagues in the US, and the rest of the EMEA business More ❯

the design and evolution of Keyloop's enterprise data architecture, ensuring alignment with business strategies and technology platforms. Define data principles, governance frameworks, and architectural standards for enterprise data, analytics, and integration platforms. Own the data strategy for structured and unstructured data across systems-including CRM, ERP, DMS, and customer-facing platforms. Design data models, data flow architectures, and system … integrations to support analytics, operational reporting, AI/ML, and real-time decision-making. Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities. Drive implementation of modern data architecture patterns (e.g., data lakes, lakehouses, data mesh, real-time streaming). Establish data quality frameworks and lead data profiling, cleansing … ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) – Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely … must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over 1,400 schemes and their sponsoring employers on an ongoing and project basis. We undertake administration for over one million members and provide advisory … training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders. Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience More ❯

great opportunity to join us very early on in this exciting journey. There are 6 pillars of the EMEA Data Office – Data Strategy, Data Governance, Data Innovation & Advisory, Data Analytics, Data Migration and Data Privacy. The remit of the EMEA Data Governance Team is to determine and implement the Data Governance Framework and policies in accordance with EMEA local regulations More ❯

Data Analytics Manager - €100k + Benefits - Amsterdam (Hybrid, 3 days in office) The Company WeComm are working exclusively with a long standing client who're an incredible global footwear and apparel business operating out of Amsterdam. They're on an amazing growth journey which has seen them break record after record while they continue to set the standards in the … industry for both quality and sustainable fashion. Next up for this global powerhouse is to continue expanding their eCommerce team with a Digital Analytics Manager who will ensure digital performance insights drive growth, efficiency and customer engagement. The Role This role requires a balance of strategic thinking and hands-on excecution as you lead a team to drive data-informed … maximise revenue opportunites by understanding customer behaviour, site performance, audience attributes and segmentation as well as financial/business metrics. Responsibilities Include - Leadership & Team Mangement - Develop a high performing analytics team with a data-driven culture that ensures insights influence decision making. - Reporting - Design, build and deploy BI solutions to all key stakeholders, as well as identifying opportunities for improvement More ❯

Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years’ experience in data analytics using mainly SQL, with Python as well … been seen within the hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained from this. Excellent communication skills are a must … due to the ongoing communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers More ❯

be the opportunity you've been waiting for. Discover the Opportunity Our client – a prominent global brand in digital entertainment - is seeking a Data Analyst to join their growing analytics function. This role is ideal for someone who’s passionate about using data to answer big questions, influence marketing strategy, and empower departments across a diverse international business. This is … communicated and understood across the business Stay on the leading edge of BI technology, promoting best practices and innovation within the team About You You’ll bring experience in analytics, a knack for problem-solving, and a curiosity that drives you to dig deeper. Here's a snapshot of what you’ll be working with and building on: A solid … interrogate complex datasets Hands-on experience with data visualisation tools like Tableau or Power BI Comfort communicating insights to both technical and non-technical audiences A background in data analytics, business intelligence or a similar field (ideally with 3+ years’ experience) A degree in a numerate subject or equivalent real-world experience Experience juggling multiple projects, staying focused, and delivering More ❯

Job Description We are seeking a highly skilled and versatile Senior Insight Analyst to join our dynamic and data-driven centralised Analytics department. This role supports the Grosvenor venue business and offers the opportunity to provide innovative customer analytics and actionable insights that support commercial decision-making in areas such as acquisition, CRM, cross-sell strategies, churn, and customer behaviour. … to inform improvements. Segmentation analysis & reporting: Develop and maintain customer segmentations to tailor offers and experiences, and develop strategies based on insights, such as cross-sell criteria. Venue & Channel Analytics: Provide insights across venues and marketing channels, highlighting performance patterns and customer behaviours to inform strategies. Stakeholder engagement: Build relationships with Marketing, CRM, and Commercial teams. Present findings and collaborate More ❯

Brand: Develop pricing algorithms balancing supply, demand, and margin targets. Build dashboards to track product launches and promotional performance. Analyse customer acquisition channels and ROI using tools like Google Analytics, Ads, Meta, Bing. Map customer journeys and identify conversion drivers. Enhance loyalty programs and customer lifetime value. Lead A/B and multivariate testing to improve UX and conversion. Drive … What We're Looking For 5+ years of experience in data insight, pricing, or revenue optimisation. experienced with large datasets from ingestion to analysis. Strong background in e-commerce analytics (Google, Meta, Bing). Advanced SQL , Excel (including VBA/macros) , and Power BI skills. Experience with Python is a plus. Highly numerate with excellent problem-solving skills. Independent thinker More ❯

Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is an advantage. Soft More ❯

Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is an advantage. Soft More ❯

UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role: Model Development More ❯