226 to 250 of 15,417 Analytics Jobs

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community … orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL 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 ❯

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 ❯

for performance and usability Provide training and support to end-users on BI tools and reporting processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL More ❯

available Salary up to £38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop, and More ❯

Silver, and Gold layers using formats like Delta , Parquet , and JSON for data transformation. Data Modeling : Develop and optimize data models using star schema and slowly changing dimensions for analytics and operations. Data Governance : Ensure robust data security with Role-Based Access Control (RBAC) and Unity Catalog . Performance Optimization : Tune pipelines, optimize queries, and implement CI/CD pipelines More ❯

Responsibilities The Senior Software Engineer is responsible for designing, developing, and implementing advanced solutions that address complex industrial challenges. This role requires a deep understanding of industrial processes, data analytics, and the ability to code and develop software solutions. Solution Design and Development: Collaborate with clients to understand their industrial processes and identify areas for improvement. Design and develop customized More ❯

science, working in a commercial setting or in consulting Experience with Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/libraries (Tableau, PowerBI) Comfort working both on a team and autonomously Strong written and verbal communication skills 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 ❯

a timely fashion, these could be data or process related. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics or equivalent experience gained Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management. Strong observational, analytical and numerical reasoning skills Effective communication More ❯

paying careful attention to detail). Enjoys working in a fast-paced dynamic environment. If you are excited about data, are results oriented, and want to join a growing analytics team within Amazon, this role is for you. Are you up for the challenge? #Letsdothis Responsibilities: Design and develop scalable, automated, user-friendly systems, statistical analysis and prediction, reports, etc. More ❯

in providing expert Consultancy, Audit, and Solution Development services to empower our partners in overcoming unique challenges. Our holistic approach fosters collaboration across diverse domains, including Data Science, Advanced Analytics, and Artificial Intelligence. At Exsolvæ, our "Solvers" are passionate professionals equipped with cutting-edge tools, a culture of continuous learning, and an unwavering commitment to delivering high-impact solutions. We More ❯

weeks ago Engagement Manager/Director (Customer Success) – Cloud Data & Life Science - EMEA Remote London, England, United Kingdom 2 months ago Senior Talent Partner - Marketing/Growth/Analytics London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago City Of London, England, United Kingdom 6 days ago Sr Business Development Manager, Advertising Measurement and Data More ❯

data models and dashboards to provide insights into business operations What You’ll Need: Experience working with Tableau or Power BI Bachelor’s degree (or equivalent) in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce More ❯

reporting and data sharing as required. Continuous Imrpovement: Identify and implement improvements to reporting, data visualization, and analytical processes. Stay abreast of industry trends and best practices in commercial analytics and data-driven retail management. Qualifications and Key Skills: Experience: Proven experience in commercial analysis within retail, travel retail, or a fast-paced commercial environment. Track record of driving actionable More ❯

questions from customers. Engage in cross-functional activities and collaborate across organizational boundaries. What experience/skills do I need? Industry experience in designing data lake, data warehouse and analytics solutions on Microsoft Azure with a good grounding in all associated areas Ability and aptitude towards investigating and sharing new technologies Strong spoken and written English skills Strategic and operational More ❯

articulate technical strategies to non-technical audiences including clients at all levels including C-suite Skills we’d love to see/Amazing Extras: Experience in data engineering/analytics using native technologies of least one cloud platform (AWS, Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of More ❯

be designing and creating scalable, data pipelines to power forward-thinking and business-critical decisions that support our growth aspirations. This role requires a hands-on approach to data analytics, working across multiple stakeholders and managing complex datasets to provide valuable insights. Main Tasks And Responsibilities Develop and maintain dashboards and reports in Fabric and Power BI to support business More ❯

Shown success in mobilising new insights capabilities by collaborating with Data SMEs across the business to create centralised, fit-for-purpose data views. Technical Proficiency : Skilled in using data analytics tools such as Python and R, along with visualisation platforms like Tableau and Power BI. Analytical & Communication Strengths : Excellent analytical skills to extract meaningful insights from complex data, paired with More ❯

is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java, Spark. • Create and maintain ETL/ELT processes to extract, transform, and More ❯

a non-negotiable. JOB SUMMARY A Senior Data Engineer, has the primary role of designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. In this role, you will be responsible for not only developing data pipelines but also designing data architectures and overseeing data engineering projects. You will work closely with cross More ❯

engineering in modern organisations Introduction to data modelling and data warehousing principles Learning how to design and build data pipelines that bring data to life for decision making and analytics Understanding the importance of data quality, structure, and flow and how to organise data for downstream use Developing foundational coding skills in Python and SQL to work with and manipulate More ❯

Ignite Your Impact as a Data Analyst - Join a Forward-Thinking Team! Are you a data enthusiast with 2-3 years of experience ready to transform fragmented data into powerful insights? We're seeking a skilled Data Analyst to join More ❯

Senior Analytics Engineer - Speciality Insurance - Manchester City Central - Hybrid - Machine Learning - £75,000 - £85,000 We're on the lookout for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation backed by private equity. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings … teams to define reporting needs and deliver effective solutions Build and maintain reporting solutions using Power BI, SSAS Tabular, and predictive tools Lead technical development and offer guidance on analytics projects Maintain and improve existing reporting assets Ensure solutions are thoroughly tested and properly documented Optimize data models and promote best practices in performance Stay current with data and reporting … tech trends, including supporting AI adoption in 2025 Foster strong internal stakeholder relationships Manage personal workload and align with delivery plans Required Experience Proven experience with predictive analytics, including forecasting and scenario modelling Advanced development of SSAS Tabular data models Expertise in Power BI, including dashboards and paginated reports Practical experience applying AI tools to enhance analytics or operations Comfortable More ❯

Location:Kilburn (TBC) - 3 days minimum onsite. Clearance: NPPV2/CTC Must have • Experience with the newer tools • ERP experience • Business processes experience • Data experience • Oracle Machine Learning • Oracle Analytics Cloud/Fusion experience • A strong understanding of how business landscapes work Overview - Building a modern and efficient business services directorate, strengthening Finance, Commercial, and Analytics capabilities while removing functional … Providing intuitive, one-touch services that leverage technologies like Oracle Cloud, low-code tools, automation, and modern analytics. As part of this transformation, our client is establishing a new Analytics and AI capability that will enable evidence-based decision-making across and beyond. Our client is now seeking a Analytics & AI Lead to own and grow their analytics and reporting … capability, enabling data-led strategy, operational insight, and performance management. Experience • 5+ years in analytics, business intelligence, or data product roles, ideally within large or complex environments. • Proven experience in implementing and delivering business solutions using Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence. • Experience working with Oracle ERP/HCM Cloud or eBusiness Suite, with a strong understanding More ❯