26 to 50 of 339 Analytics Jobs in East London

about using data and user insights to shape innovative digital products. You will work closely with cross-functional teams to ensure products meet user needs and strategic goals through analytics, research, and collaboration. Responsibilities Data Analysis : Collect and interpret complex data from user interactions, surveys, and logs using tools such as Excel, SQL, and PowerBI. Create visualisations and reports to … and execution align with user and business needs. Skills & Experience Experience in a product analyst role with direct user support and stakeholder engagement. Strong proficiency with data visualisation and analytics tools (e.g. PowerBI, Excel, SQL). Experience conducting user research and delivering actionable insights. Familiarity with Agile project delivery and documentation (user stories, acceptance criteria). Working knowledge of industry … analytics tools and AI/machine learning applications such as Microsoft CoPilot or generative AI (desirable). Strong communication skills with the ability to explain complex concepts in non-technical terms. PRINCE2 Foundation (desirable). Proven ability to deliver excellent customer service and provide user training. More ❯

Time Salary - £70-80K per annum Our client, a scaling FinTech are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that empower analytics, reporting, and self-service across the business. Key Responsibilities Build and maintain robust ELT pipelines and cloud-based data warehouses (e.g., AWS Redshift) Model curated data layers to support analytics More ❯

PRODUCT ANALYST – LONDON UP TO £90,000 THE COMPANY We’re partnering with a fast-scaling subscription-based business to help them make a key hire within their Product Analytics team. THE ROLE As Lead Product Analyst, you will play a critical role in driving product strategy through data. Your responsibilities will include: Leading the design, implementation, and analysis of … maintaining dashboards and reporting tools to provide real-time visibility into product performance YOUR SKILLS AND EXPERIENCE The ideal Lead Product Analyst will bring: Significant experience in a product analytics role, with deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Analytics Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge … utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the More ❯

deadlines while maintaining high-quality execution Job Purpose Working as the number two to the Chief Data Officer, you will be responsible for: All digital (editorial), customer, commercial, ecommerce; analytics, performance, insight, optimisation and forecasting across all Independent Media brands globally and for additional brands where Publisher Support Services contracts exist. Whilst accuracy of the data and visualisations shared is … and 3rd party monetisation Working in close partnership with other internal teams to achieve desired outcomes: editorial, commercial, video, finance, technical, audience. Proficiency with Google Cloud products, Domo, Adobe Analytics, GA4, Piano, Braze, Google Ad Stack, Permutive, data clean rooms and ID solutions (Google Sandbox, Anonymised, LiveRamp, ID5, IntentIQ etc). Familiarity with The Independent brand, websites and products on More ❯

legacy/manual systems into modernised, scalable solutions. Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

This is a pivotal role in shaping our data landscape, ensuring alignment with business objectives, and driving innovation through effective data management practices. You will lead a team of skilled data architects, collaborate with cross-functional stakeholders, and define the More ❯

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 More ❯

Senior Analytics Engineer - £80,000+ Cognify have partnered with a fast-growing SaaS platform as they continue to expand their data team following a consistent run of success With offices across the UK, US & Australia, they are now looking to bolster the London team with the addition of another Senior Analytics Engineer. This role is for a talented all-rounder More ❯

Mode Search is supporting a leading fashion supplier in the search for a dynamic and commercially minded Trading Analytics Engineer to join their growing team. This is an excellent opportunity to join a fast-paced, trend-led fashion business with a strong presence across major UK retail channels. The successful candidate will play a key role in shaping how data … drives commercial decision-making across trading, pricing, and supply chain operations. The Trading Analytics Engineer will be responsible for designing, building, and scaling data solutions to support the business’s commercial and trading functions. The role sits at the intersection of data engineering, analytics, and commercial strategy — ideal for someone who thrives on translating complex data into actionable insights. Key More ❯

Business Analytics - Vice President We are seeking to hire within the EMEALA Business Analytics Team, supporting Client Coverage teams and providing business management support to EMEALA Client Coverage Leadership. The ideal candidate will be comfortable building relationships with stakeholders across multiple functions; have experience in data and analytics, and be comfortable delivering presentations and insights to Management both proactively and More ❯

product support group - you will need proven Data Analysis within Financial Services Key part of the role is to drive process improvements/automation, produce meaningful business and portfolio analytics using tools such as Python, SQL, KDB, and Power BI to transform and analyze data. You'll have experience in solving problems, improving data quality, streamlining manual processes, building reports … proposing analytics, and supporting the reporting infrastructure. Key Skills: Data Analysis within Financial Services - current is a must Programming skills in Python and experience with relational and non-relational databases. Proficient in MS Excel and VBA. Strong written and verbal communication skills to work effectively with cross-functional teams. Ability to work independently and automate processes This is an initial More ❯

into the performance of our client’s marketing strategies, the global digital brands we work with, and ultimately their customers. You will combine your deep expertise in digital marketing analytics with your knowledge of quantitative and statistical methods to ensure that our overall business and marketing strategies become ‘data driven’ and that Managers across different business lines are able to … to communicate complex data in a clear and concise manner. In addition to being a key delivery analyst, you must also lead the development and maturity of our digital analytics capability. This will be through three main routes; standards (the creation of new analytical approaches for others to follow), teaching (showing others how to become better at digital marketing analytics … conversion rates. Develop regular reports that provide actionable insights into campaign performance and business impact. Identify trends and opportunities for optimization by leveraging data from various ad platforms and analytics tools. Help to visualise customer journeys, assist in optimising conversation rates, and measure effectiveness of creative decisions As a subject matter expert, set the standards on best practice within the More ❯

their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and … provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to enhance customer experiences and revenue streams. Collaborate with stakeholders to deliver visually compelling reports and dashboards using tools like Tableau. Oversee the administration, monitoring, and maintenance of data infrastructure and services. Ensure compliance with data security and governance best practices Technical Requirements More ❯

and is hiring a BI Developer to help shape and deliver on this vision. This is a unique opportunity to join during the early phases of greenfield BI and analytics initiatives, offering strong long-term prospects and hands-on influence over tooling, data modelling, and design. This role sits within a growing data function that supports underwriting, operations, and finance … with high-quality analytics and reporting. Why apply: Greenfield projects with executive buy-in Clear investment in data as a strategic function Strong career progression in a high-visibility role Flexible working culture What you’ll do: Develop robust and insightful Power BI dashboards for underwriting, performance, and operational reporting Design and build efficient data models using DAX and SQL More ❯

that works. You’ll shape systems from the ground up, with real ownership and the chance to influence how we grow. THE PRODUCT: Fit Collective’s product combines advanced analytics, machine learning, and a low-code interface to deliver powerful insights across the fashion supply chain. Over the next 12 months, we’re launching a Shopify app that automatically updates … Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll Work On: Data Pipelines: Design, build, and maintain robust ETL/ELT pipelines using dbt to transform raw data into reliable, production-grade models, supporting … machine learning, analytics, and product features. Data Modelling & dbt Mastery: Own the full lifecycle of data models in dbt, including: Designing scalable fact and dimension tables Managing Slowly Changing Dimensions (SCDs) using snapshots or incremental models Building and maintaining seeds for reference data Writing thorough tests and documentation to enforce data quality and governance Architecture Ownership: Help shape our dbt More ❯

Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London, who is looking to grow their analytical team with a bright and motivated Graduate Data Analyst . If you … limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

the start of something incredible! What will you be doing? As a Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across … ensuring reliability, performance, and business value Responsibilities Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real More ❯

and Insurance is an advantage. Expertise in data centers, storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). … SAML, Active Directory, or LDAP. ServiceNow developer Certification, including ITSM, ITOM, Asset Mgt, ITBM, CSM, SecOps, GRC, or HR. Exposure to HRSD, IRM, CSM, FSM, GRC, mobile solutions, Reporting & Analytics & other industry specific solutions. Well-versed in modern web technologies and cloud computing architectural principles for cloud-based platforms that include SaaS, PaaS, multi-tenancy, and automation. Experience of custom More ❯

Intelligence to automate document classification processes Develop intelligent workflows leveraging AI Builder and hybrid logic frameworks Engineer low-maintenance pipelines capable of processing 200+ document formats Contribute to predictive analytics projects and data-driven decision-making Design API-first integrations with property management and financial platforms Interested!?! Please send your up to date CV to Dean Sadler-Parkes at Crimson More ❯

flexible mix of office and remote work Career Growth : Structured professional development, mentorship, and training opportunities Modern Tech Stack : Work with the latest tools in data science, AI, and analytics Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date More ❯

We are supporting a fast-growing, high-performing investment firm as they expand their lean, agile technology team. This newly created role sits at the intersection of data engineering and business intelligence — offering real ownership, front-to-back exposure, and More ❯

Marketing Analytics Consultant Up to £60,000 London THE COMPANY Join a global leader in data and digital solutions - 7ou'll play a key role in shaping data-driven marketing strategies for a diverse client base, helping them unlock the full value of their data through innovative analytics, AI, and marketing intelligence. THE ROLE This is a high-impact, client … facing position where you'll combine digital analytics expertise with strategic consulting to drive measurable business outcomes. Working across international accounts, you’ll be hands-on with data, while also leading stakeholder engagement and shaping solution delivery. Responsibilities: Partner with clients to deliver tailored marketing intelligence strategies that meet KPIs and drive commercial growth Design and implement data solutions using … on automation, AI/ML, and insight generation Lead end-to-end client projects: discovery, solution design, delivery, and reporting Provide strategic insight through compelling data storytelling, turning complex analytics into actionable outcomes Collaborate across data science, engineering, and analytics teams to ensure seamless implementation and client success YOUR SKILLS & EXPERIENCE 3+ years’ experience in digital analytics, data consultancy or More ❯

AI Engineer – Insights & Analytics Consultancy - London (Hybrid) A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools … wider team Work on a mix of proof-of-concept and full-scale projects that push technical boundaries Collaborate closely with cross-functional teams across data engineering, strategy, and analytics What we’re looking for Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building More ❯

infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the … Key Responsibilities Partner with cross-functional stakeholders in Product, Data, and Engineering to align strategic goals with platform capabilities. Lead and mentor 1–2 engineering squads focused on experimentation, analytics event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine … Kafka, and DBT. Proven success in building and managing data platforms supporting both batch and real-time processing architectures. Deep understanding of data warehousing, ETL/ELT pipelines, and analytics engineering principles. Proficient in programming languages such as Python, Scala, or Java, and experienced with cloud platforms (AWS, GCP, or Azure). Experience working with privacy-sensitive data and implementing More ❯