1,626 to 1,650 of 10,204 Analytics Jobs

both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role … platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery: Work within ...

decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

other non-disability related questions, please reach out to our Talent Partners. Role We’re hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You’ll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. … also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities ...

customers that are struggling with their bills. We’re unique because we are genuinely a hybrid of a few different skills and mindsets: Data analytics is our core skillset. Everyone in the team is very strong in this area We have a firm understanding of the needs of our customers … Finance, and other stakeholders What You'll Have Excellent SQL skills A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker ...

role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions. You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively. Data Platform sits … centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security. OUR MODERN TE OUR MODERN TE Our Modern Tech Stack: Experience ...

role is responsible for developing and maintaining a single source of truth for departmental reporting, creating Power BI dashboards, KPI reporting and performance analytics that support informed decision-making and continuous improvement. Knowledge, Skills, Qualifications & Experience Essential/Key attributes Advanced Power BI and reporting experience. Strong analytical and problem ...

Hybrid We're looking for an experienced Azure Developer to join a growing data team, designing and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native ...

Experience building scalable cloud-based data platforms. Nice to Have Snowflake experience. Broad experience across Databricks , Fabric , and Synapse . Preferred Certifications Microsoft Fabric Analytics Engineer Associate. Microsoft Fabric Data Engineer Associate. #J-18808-Ljbffr ...

solutions. Oversee data modelling, metadata management, and semantic layer design, ensuring the delivery of trusted, reusable, and high-performing data assets that enable consistent analytics and reporting. Provide technical leadership across complex BI initiatives, ensuring solutions meet data governance, privacy, security, and regulatory requirements while maintaining high performance and reliability. … skills, both written and verbal. Degree in a relevant discipline, examples include Computer Science, Information Systems/Management Information Systems (MIS), Data Science/Analytics, software engineering or equivalent demonstrable experience. Advanced proficiency in Microsoft 365 tools (e.g., Excel, PowerPoint, Teams, SharePoint). Professional qualifications in information/knowledge management ...

data to improve services and patient outcomes? This exciting role provides specialist analytical leadership for the South Wales Trauma Network, using data science, advanced analytics and business intelligence to support service improvement, research and evidence-based decision-making. The post holder will analyse and interpret complex trauma datasets, including data … Informatics environment. Significant experience within an information environment Working with large data warehouses utilising a number of data sources and ETL processes. Contributing towards analytics that are aligned to Population Health/Prudent Health Care and VBHC Experience of information analysis and reporting Strong knowledge in applicable technology e.g. Excel ...

/4HANA, SaaS LoB solutions, and partner platforms (e.g., Salesforce, Microsoft) Identify digitization and automation opportunities using AI, Blockchain, IoT, RPA, and advanced analytics Lead assessments, due diligences, and transformation workshops Support clients in building transformation business cases and value realization models Engage directly with senior business stakeholders and communicate … data standardization and harmonization Data-driven organization design, including data governance frameworks, roles, and operating models Data platform selection and architecture for aggregation, analytics, reporting, and monetization Strong familiarity with the SAP product portfolio and SAP consulting landscape Deep functional expertise (Finance & Controlling/Manufacturing/Logistics/Sales ...

accelerate growth through elegant, data-driven digital solutions. Our areas of expertise include application modernization, eCommerce, UX/UI design, product strategy, data analytics, and artificial intelligence. At Codal, you will collaborate with some of the most innovative organizations in the world and work on cutting‐edge technologies that push … platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and modern CI/CD practices. Solid understanding of databases and data platforms (SQL, NoSQL, and analytics platforms such as BigQuery). Clear, confident communication skills, and the judgment to know when to hold a position and when to adapt it. ...

using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed … Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data ...

generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve it Collaborated with … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

Provenir group, a global fintech company with a passion for technology and helping businesses become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create innovative, digital-first financial decisioning solutions that drive business growth. … member of the Provenir AI team, who are responsible for all things data, analytics, and ML/AI at Provenir AI. The team fosters a vibrant and collaborative culture. We are a passionate group of professionals who thrive on the intersection of data and engineering. Our team is driven ...

lead teams with blend of consultants and employees with diverse data engineer background who build scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. You'll partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. ...

products. ITIL v4 knowledge. Experience in scripting and integration concepts (Python, JSON, PowerShell, REST API, LDAP, SSO, BASH). Experience in data analytics and visualization tools (SQL, Power BI, Tableau, etc.). MacOS familiarity. Previous enterprise operations experience a plus (IT infrastructure, capacity planning, end-user hardware/software engineering … future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied ...

lead governance forums, service reviews, and performance discussions. Deliver AI-enhanced reporting, including predictive insights and trend analysis using tools such as ServiceNow Performance Analytics, Azure Monitor, and AWS DevOps Guru. Ensure transparency and governance in AI usage within service delivery. Team Collaboration Work closely with cross-functional teams including … Services frameworks Hands-on experience with AIOps tools such as Dynatrace and ServiceNow Familiarity with observability tools (e.g.Datadog, New Relic, Elastic) Knowledge of event analytics tools such as Splunk IT Service Intelligence andMoogsoft Experience in stakeholder and client management Financial management, costoptimisation, and business case development experience Understanding of data ...

seeking a Data Engineer to join the team. A pivotal role has arisen due to strategic growth initiatives focused on enhancing data infrastructure and analytics capabilities. As a Data Engineer, you will play a crucial part in shaping the future of data handling within the organisation, contributing directly to more ...

future of BlackRock. Our teams work on some of the firm’shighest prioritystrategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across BlackRock. We help define best practices,establishtechnical standards, and enable teams throughout the organization … Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, Predictive Analytics, United Kingdom #J-18808-Ljbffr ...

self-service infrastructure blueprints for Development, Applications and wider IT teams. Configure monitoring, observability, log aggregation and operational metrics using Azure Monitor, Log Analytics and Application Insights. Work with Infrastructure, Applications and Security Architects to ensure systems follow Business Continuity and Disaster Recovery guidelines, with documented plans reviewed and tested … practice. Ability to monitor, troubleshoot and assess the operational health of Power Apps, Power Automate flows and underlying connectors. Experience configuring Azure Monitor, Log Analytics, Application Insights and operational telemetry to support platform health and incident response. Excellent technical documentation skills, including best practice guides, architecture records, standard operating procedures ...

growth, margin, costs, and ROI to meet business objectives. Secure alignment of resources for high-quality delivery in line with Ekimetrics’ strategy. Translate complex analytics into compelling narratives and actionable recommendations for senior stakeholders and C-suite clients. Support clients in optimizing marketing spend, improving segmentation, enhancing campaign performance … econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep ...

growth, margin, costs, and ROI to meet business objectives. Secure alignment of resources for high-quality delivery in line with Ekimetrics' strategy. Translate complex analytics into compelling narratives and actionable recommendations for senior stakeholders and C-suite clients. Support clients in optimizing marketing spend, improving segmentation, enhancing campaign performance … econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor's or master's degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep ...

across data processes and quality Taking ownership of projects and workstreams What We're Looking For 4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills ...

across data processes and quality Taking ownership of projects and workstreams What We're Looking For 4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills ...