676 to 700 of 5,815 Analytics Jobs

JavaScript, and other UI development tools. Experience of running requirement elicitation workshops and generating user story documentation Lean Six Sigma Yellow or Green belt Agile Scrum Master Data and Analytics knowledge would be advantageous Reporting and Dashboarding knowledge would be advantageous Experience of ITIL/Service Management methodologies Experience of working with partner organization and 3rd party suppliers Salary More ❯

and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a More ❯

Strong analytical and problem-solving skills. Excellent planning and organising skills Ability to multi-task and deliver both immediate and longer-term tasks Desirable Knowledge Areas: Understanding of data analytics tools (e.g., Power BI, Tableau). Familiarity with compliance standards (e.g., GDPR, ISO 27001). Knowledge of programming languages such as Python , Java , or C# for application customisation. More ❯

and implement scalable data solutions, automate processes and accelerate analytics. - Collaborate with other Business Intelligence Engineers on a WW scope and implement data pipelines to automate manual solutions. - Develop analytics: deep-dive tools, UIs, metrics, and dashboards. - Communicate analytical outputs to stakeholders with a focus on making clear insights and tradeoffs. - Propose and prioritize changes to reporting, create additional metrics More ❯

appreciation of UK regulatory frameworks Experience managing projects or programmes, supported by project management qualifications Proficient in data manipulation and analysis using Python, SQL/NoSQL databases, Excel, Oracle Analytics, Power BI, or similar tools Post date: 25 June 2025 Closing date for applications: 18 July 2025 Hold date for interviews: 28 July 2025 & 4 August 2025 Applicants are considered More ❯

building and optimizing our Medallion architecture (Bronze, Silver, Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/ELT pipelines through the Medallion architecture in Databricks . Data Transformation : Create and More ❯

most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers More ❯

the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. More ❯

empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its tracks. Napier AI's technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people's money from becoming criminal proceeds. It's not just about stopping crime-it's about making the financial world safer and more trustworthy More ❯

to improve the customer experience and business performance. Help drive evolution of partner experience through close collaboration with cross-functional teams ranging from Trademark, Marketing, Product Management, Programs, Engineering, Analytics, and Risk. Advocate voice of the customer internally, using data and anecdotes to drive prioritization. Build out operational processes from policy requirements, with the goal of future automation. Handle the More ❯

who take initiative, embrace challenges, and think outside the box. As a Data Engineer, your mission would include: Designing, building, and maintaining robust data pipelines to support AI and analytics initiatives. Collaborating with stakeholders to understand business needs and ensure data is structured effectively for AI applications. Developing and optimizing SQL queries (especially T-SQL) and Python scripts for efficient More ❯

Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to More ❯

highly scalable and reliable applications. CF&O divisions have several web applications that generate data that are used for internal Risk & Compliance management and regulatory reporting. Data warehousing, data analytics and machine learning skills will be useful as there is a significant focus on data and reporting. HOW YOU WILL FULFILL YOUR POTENTIAL (RESPONSIBILITIES) Work in a dynamic, fast-paced More ❯

individual who has an analytical "can-do" mindset and demonstrable problem-solving skills. You will be meticulous and have an awareness of varied reporting trends and patterns. Excellent data analytics skills and knowledge of appropriate tools and systems, e.g. MS Excel, PowerBI, Power Automate & SharePoint Forms. Ability to learn new tools and techniques quickly. Understanding other systems and tools would More ❯

the right metrics, and communicate insights clearly. Continuous Improvement: Proactively identify ways to enhance our data quality and streamline operational processes. Stay up to date on best practices in analytics and tooling. What We're Looking For We're seeking a curious, analytical, and collaborative individual who loves working with data and improving how tech teams operate. You should have More ❯

suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications: -An Active Government Clearance (Top Secret and above, without any limitations) is required More ❯

Data Product and Delivery Manager , you will work closely with all areas of the business to deliver wide-ranging data-driven solutions to our customers Deliver iPipeline's InsureSight analytics service to the UK market, servicing existing and new customers with excellent communication skills and a strong grounding in statistics. No two days are the same working in a dynamic More ❯

process automation and data-driven decision-making. There is a major opportunity to modernise how we deliver and manage data as well as expanding the use of data and analytics inside the business . The right candidate will find real scope to influence direction and develop business cases for change, implement good practice, and guide the team toward scalable, robust More ❯

Kahootz) Platform Management: Manage user access and permissions, ensuring timely resolution of user requests. Act as the first point of contact for platform-related queries and support. Reporting and Analytics: Prepare and deliver weekly programme status reports for both the customer and internal leadership teams. Develop and maintain Power BI dashboards and reports to support operational insight and decision-making. More ❯

We're looking for a Commercial Analyst (Partnerships) We're looking for a Commercial Analyst with a passion for data and analytics to power our partnerships strategy. The successful candidate will ensure we're making data-driven decisions based on robust testing to help grow our partnerships channel, as well as developing and maintaining the business intelligence (BI) and data More ❯

knowledge, experience and qualifications that will help Some experience in a data analyst or related role (ideally in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as More ❯

to support the adoption and expansion of MongoDB across key accounts and personas, from developers to the C-suite, within specific verticals or regions Leverage data-driven insights: Use analytics and market research to identify opportunities, measure program effectiveness, and optimize activities for maximum ROI. Ensure alignment across marketing programs: Partner with Global Demand Centre and other Global and EMEA More ❯

BigQuery Analytics Consultant - Web Analytics Salary : £45,000 + bonus Work type: Hybrid – London HQ (Old Street) - 3 days per week Our client is the powerhouse behind some of the world’s most loved retail brands, reaching billion customers annually across several countries. From high-street staples to leading digital-first experiences, their mission is to create better health and … the modern consumer. 🧑🏼‍💻 The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … and transforming complex datasets Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience 🖥️ Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯

components and the overall user experience while allowing us to grow. Efficient Problem-Solving : Identify and resolve issues quickly to maintain high customer satisfaction. Data-Driven Development : Use data analytics to guide product decisions and feature improvements as well as catering to performance and security concerns. Continuous Improvement : Participate in shaping our team to help enhance our ways of working More ❯

security, or architecture are a plus. Nice to Have: Experience in highly regulated industries such as fintech, healthcare, or telecommunications. Knowledge of AI/ML platforms or other advanced analytics infrastructure. Familiarity with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Experience with modern data engineering technologies (e.g., Kafka, Spark, Flink, etc.). Why join YouLend? Award-Winning More ❯