301 to 325 of 691 Analytics Jobs in Central London

Job Title: Data & Analytics Consultant Location: London Bridge & Hybrid (3 days a week) Salary: £50,000 - £75,000, flexible dependent on experience We’re partnering with a leading data & analytics consultancy that helps organisations turn data into actionable insights. They combine analytics, technology, and consulting to deliver high-impact solutions across a range of industries. The Role: You’ll join … ll also mentor team members and manage project delivery to ensure excellence, on time and on budget. What You’ll Do: Lead client engagements and design tailored data and analytics solutions. Manage project plans, deadlines, and resources effectively. Analyse data to uncover trends, patterns, and actionable insights. Build dashboards and visualisations to clearly communicate insights. Mentor and guide junior team … members. Maintain data security and implement best practices. What We’re Looking For: 3 - 4+ years in data and analytics consulting (more for senior roles). Strong experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science More ❯

management firm is seeking to hire an ESG Data Scientist to join their Sustainable Research team. This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable … vendor evaluations and development of data governance standards Candidate Requirements: Minimum 4 years of experience in a Data Scientist, Quantitative Analyst or Developer role in asset management or sustainability analytics industry Demonstrable experience working with ESG and sustainability data Strong proficiency in Python and practical experience using SQL Experience with data visualisation platforms, ideally Power BI and Tableau Proven track More ❯

Type: Permanent An exciting opportunity for a hands-on Data Engineer/BI Developer to join a leading Asset Management firm. This role sits at the intersection of data, analytics, and investment technology, enabling portfolio managers and investment teams to make data-driven decisions that deliver measurable client and business outcomes. You’ll design, build, and maintain data pipelines, analytics … and external data sources (Bloomberg, SimCorp, market data vendors). Develop Power BI dashboards and reports to support investment, risk, and operations teams. Create and optimise data models for analytics and decision-making. Ensure data accuracy, lineage, and governance across systems. Automate manual workflows to enhance reporting efficiency. Collaborate with teams across Investment Management and Technology to deliver scalable, data … risk, compliance, performance reporting). Experience with GitHub and AI tools (OpenAI, LLM APIs, agentic workflows). Qualifications: Bachelor’s degree in Computer Science, Quantitative Finance, Data Engineering/Analytics/Science, or related field. 2+ years of experience in data engineering, BI development, or analytics. Background in asset management, hedge funds, or investment banking is advantageous. Nice to Have More ❯

Miryco is working with a leading player in the Pension and Asset Management market. Job Specification: Business Intelligence Analyst/Data Engineer Department: Business Intelligence/Data Analytics Sector: Pensions & Asset Management About the Role: We are seeking a hybrid Business Intelligence Analyst/Data Engineer to join our data and analytics team within a leading Pension & Asset Management organisation. … reporting processes. Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

Data Engineer (with Data Analytics Background) Location: City of London Employment Type: Full-time Salary: £90,000-£100,000 Sector: Fintech We're looking for a well-rounded, communicative Data Engineer with a strong background in data analytics and experience within the Fintech sector . This role is ideal for someone who began their career as a Data Analyst and … Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use … Have Experience with Power BI or other data visualisation tools. Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. Understanding of CI/CD practices in data and analytics engineering. Knowledge of data governance, observability, and security best practices in cloud environments. More ❯

designing, implementing, and optimising large-scale data processing systems. You’ll work closely with clients, data scientists, and solution architects to build efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving ability, and the confidence to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and … Ensure data integrity, quality, and security through robust engineering practices. Monitor, troubleshoot, and optimise data workflows for efficiency and cost-effectiveness. Collaborate with data scientists and analysts to enable analytics and machine learning solutions. Contribute to best practices, coding standards, and documentation to improve data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build … . Proficiency in Python for data transformation and automation. Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect ). Knowledge of data modelling , data warehousing , and modern analytics architectures . Familiarity with DevOps practices , CI/CD pipelines, and infrastructure-as-code. Strong problem-solving skills and the ability to work in fast-paced environments. Excellent communication and More ❯

growing organisation thats driving a major digital transformation. The Data Engineer will be responsible for designing, building, and maintaining robust data infrastructure to support the organisations expanding data and analytics needs. This includes leading the migration of legacy systems to modern cloud-based platforms , managing APIs for seamless data exchange , and ensuring data quality, security, and reliability across all systems. … data requirements and deliver efficient solutions. Manage and maintain data integrations and APIs for seamless information flow between systems. Ensure data governance, security, and compliance standards are upheld. Support analytics and reporting through high-quality, structured data models. Produce documentation and technical reports covering data models, pipelines, and architecture. What Were Looking For Proven experience delivering data migration or integration More ❯

platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success faster and … performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external APIs such as AWS, Stripe, Zendesk, Twilio, Google Analytics, Google Ads, HMRC, etc... Code Quality & Reviews: Enforce code quality through rigorous reviews, automated testing, and CI/CD processes. Project Management: Collaborate with cross-functional teams to gather requirements More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost More ❯

it evolves Opportunity to shape how data drives sales strategy and processes Exposure to cross-functional business operations and commercial decision-making Chance to rapidly develop skills in CRM, analytics, process design, and systems architecture A collaborative working environment where your suggestions and improvements are valued Role Description/Purpose of the role: We are seeking a motivated, technically capable … the configuration scales as the company grows Data analysis & insights Extract, clean, and transform CRM data to support reporting Build dashboards, reports, and visualizations for sales leadership Perform deeper analytics (segmentation, cohort analysis, pipeline leakage, forecasting) Draw conclusions and present recommendations to commercial stakeholders Sales pipeline governance & process support Enforce data quality standards and completeness Define and document pipeline stages More ❯

Applied Lead Data Scientist (Innovation Forecasting & Opportunity Analytics) Permanent role, London (Hybrid), 4 days a week (Flexible) Foresight Factory is a consumer prediction consultancy which helps our clients see further. Powered by our platform ‘Collision’ we find the right data and uncover trends that give our clients strategically compelling answers. What we do is deep, smart, and very commercial. As More ❯

Join a leading telecommunications company as Technical Lead – Insight & Analytics (Mobile Network )! Are you ready to take on a pivotal role in a fast-paced, high-impact environment? We're looking for a skilled leader to support the management of a growing data team and drive the technical delivery of innovative data products. This role blends team leadership with hands More ❯

Job Title: Corporate Reporting, Engagement and Data Analytics in Safety and Sustainability Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet … at https://www.slb.com/Location: Buckingham Gate, London Duration: 12 months Job Summary: We are seeking a motivated and creative intern to support corporate digital reporting, data analytics and engagement programs related to Safety and Sustainability for our Americas, Europe, and Africa regions. In this role, you will contribute to the creation of digital reports, performance dashboards, and … to global initiatives. Skills in digital communication tools, reporting systems, and campaign design. Experience working across regions and collaborating with diverse stakeholders. Essential Requirements: Bachelor’s degree in Data Analytics, Marketing, Safety & Sustainability, Digital Communication & Technology, Management, Information Systems, Knowledge Management, Corporate Social Responsibility, Sustainability Management or related field. Proficiency in Microsoft Office 365 and communication tools. Strong writing, editing More ❯

Commodity Risk & Analytics Engineer 📍 Location: London/Hybrid/Remote (UK-based) 💼 Reports to: Head of Engineering/Risk Analytics Lead 🧩 Team: Analytics & Risk Platform 🌊 About the Role Join a leading shipping analytics and optimisation company that’s transforming how global operators manage cost, logistics, and exposure. We combine data science, operations research, and market analytics to help businesses make … smarter trading and risk decisions. We’re now expanding into the commodity risk and analytics domain — and we’re looking for an engineer who can connect market data , quantitative models , and real-world operations . 🚀 The Mission Build and extend our analytics and optimisation infrastructure to model and manage commodity price and exposure risk . You’ll integrate high-frequency … intuitive dashboards — turning complex market behaviour into clear, actionable intelligence. 🔧 What You’ll Do Model Development: Design, implement, and maintain models for price dynamics, cross-commodity spreads, and exposure analytics using Python and modern numerical libraries (NumPy, Pandas, Pyomo, or similar). Data Integration: Build robust data-ingestion pipelines for high-frequency market and OTC price feeds. Ensure data quality More ❯

Global Insurance Firm is hiring for a Google Cloud Platform/Analytics Consultant to join their team in the City. This is a permanent role, and the salary ranges between £60K - £70K + Bonus + Benefits. Hybrid working policy with 3 days in the office per week. Responsibilities include: - Design and deploy analytical models and dashboards to uncover insights, predict More ❯

mentoring a team of data scientists and collaborating with engineering and product leaders. Key Responsibilities Drive end-to-end delivery of data science solutions for digital banking and risk analytics use cases. Build predictive models for credit risk, fraud prevention, and customer behaviour using cutting-edge ML techniques. Partner with product teams to embed intelligent decision engines into core banking … within financial services or fintech. Strong expertise in Python, ML frameworks, and cloud-based data platforms (AWS, Azure, or GCP). Proven track record in credit risk modelling, fraud analytics, or similar financial domains. Familiarity with big data technologies (Spark, Hive) and MLOps practices for production-scale deployments. Excellent communication skills to engage stakeholders and simplify complex concepts. Desirable Extras More ❯

Senior Analytics Engineer | London (Hybrid, 3 days on site) | DBT, Looker, SQL, AQS | £70K-£75K | OB are working with a fast-growing e-commerce company that values innovation, data-driven decision-making, and building a business that’s both impactful and sustainable. In this role you'll be the bridge between raw data and powerful insights, owning the design and … build of well-tested, well-documented, production-ready dbt models that power analytics and data science. What you'll be doing Building and maintaining SQL data transformations in dbt. Owning standards for data modelling & setting best practices across the business Working with product engineering teams to ensure source data is fit for downstream use Partnering with analysts & stakeholders to create … clean, intuitive datasets in Looker Strengthening our reporting layer and developing more self-serve analytics capability Identifying opportunities for optimisation & automation across the data stack You have: Strong dbt experience Excellent SQL and performance optimisation skills Solid understanding of Git Experience with BI tools (ideally Looker ) Bonus points if you have: Looker + Looker API experience Python for automation/ More ❯

Join Police Digital Service as Data Architect FT/PT - starting salary £70,000pa About Police Digital Service The Data Architect is a member of Data and Analytics Services accountable to the Head of Data and Analytics Delivery and responsible for the designs and build of data models and systems aligned to the Data and Analytics strategy and operational objectives. … understanding of how data is processed and how it flows Work with senior stakeholders to align priorities and secure support Support the build, management and maintenance of data and analytics capabilities including design and build of solutions, data infrastructure, analytics tools, products and services Support the build, management and maintenance of data and analytics capabilities including assurance and controls, data … management, data tools, products and services Detect and analyse early trends in data and analytics technology Support teams to realise opportunities for innovation Advise on new techniques and methods that address shared problems Implement organisational processes and ways of working so that data and analytics roles you support can thrive Continuously improve and optimise the organisational environment Implement and monitor More ❯

DevOps Engineer Central London - 2 times a week in the office £80,000 - £95,000 Benefits ReVybe IT is working with a fast-growing software company in the Data & Analytics space. With around 90 employees, theyre scaling their cloud infrastructure and DevOps capabilities, and are now looking for a Senior Azure DevOps Engineer to join their team, which we have More ❯

We have an exciting new opportunity for a Senior Python Quant Developer to join a leading energy trading firm. This role will be part of the Optimisation Trading Analytics team, who are responsible for all Optimisation Models across all assets. The focus of this position is to improve the team’s existing analytical platform by identifying and implementing enhancements to More ❯

Scala Developer A leading Data & Analytics company seek a Scala Developer to build high-performance data systems that power real insight and innovation. What You’ll Do: Design, build, and optimise data pipelines and distributed systems in Scala. Collaborate with data scientists, engineers, and analysts to turn complex data challenges into elegant, scalable solutions. Work with modern data technologies (e.g. More ❯

and delivery of its market data capabilities. This role leads a small technical team responsible for building and maintaining a robust data management platform that supports trading, risk, and analytics functions. Key Responsibilities Lead and mentor a team of developers focused on market data solutions. Design and enhance data ingestion, parsing, and distribution systems. Manage and maintain market data curves More ❯

in a timely way and preventing downtime. The future of the product will be looking to improve up-time through their GCP migrations as they incorporate AI and Data Analytics to the product. The role itself will be UK remote, and offers up to £70,000 and facilitating some growth and training and development through certifications too! If it suits More ❯

in a timely way and preventing downtime. The future of the product will be looking to improve up-time through their GCP migrations as they incorporate AI and Data Analytics to the product. The role itself will be UK remote, and offers up to £70,000 and facilitating some growth and training and development through certifications too! If it suits More ❯

enabling smooth, scalable onboarding Translate analytical data to customers and internal teams into clear and implementable insights Integrate real-world feedback to enhance performance, reliability and usability Deliver accurate analytics and actionable insights to customers and internal teams Benefits: Competitive salary and equity in a well-backed start-up You will directly with highly successful founders Opportunity to scale the More ❯