351 to 375 of 2,344 Permanent Analytics Jobs

integrations across internal and third‐party systems. Developing in‐house solutions to replace outsourced or legacy technology. Creating data pipelines that improve reporting and analytics for portfolio managers. Owning projects end‐to‐end — from gathering requirements through to deployment. What you’ll need 5–6 years’ experience as a software ...

DevOps. Key Requirements Experience of supporting the Phinsys System is highly desirable. Hands-on experience of Cloud based platforms and technologies such as Synapse Analytics, Fabric, Databricks, Snowflake. Azure DBA experience is advantageous. Solid knowledge of ETL technologies, specifically SSIS and Azure Data Factory and pipelines. Solid knowledge of core ...

level position where you'll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale. You'll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations. ...

Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward ...

etc. Influence product roadmap by deeply understanding member behavior and preferences through continuous data analysis Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact Additional duties ...

learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead ...

etc. Influence product roadmap by deeply understanding member behavior and preferences through continuous data analysis Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact Additional duties ...

.NET Developer that can hit the ground running and be instrumental in the creation of stylish and innovative new web applications and data analytics software. Every possible resource will be at your disposal to help you achieve this. We are looking for .NET Developer that have a strong background ...

.NET Developer that can hit the ground running and be instrumental in the creation of stylish and innovative new web applications and data analytics software. Every possible resource will be at your disposal to help you achieve this. We are looking for .NET Developer that have a strong background ...

.NET Developer that can hit the ground running and be instrumental in the creation of stylish and innovative new web applications and data analytics software. Every possible resource will be at your disposal to help you achieve this. We are looking for .NET Developer that have a strong background ...

Define and deliver enterprise-level data strategies and architectures. Design frameworks for data modelling, transformation, and governance. Lead on solution design for analytics, AI, and automation initiatives. Collaborate closely with multidisciplinary technical teams and senior stakeholders. Contribute to IP development and innovation across data engineering and insight solutions. What ...

Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. xkybehq Join ...

structured, accessible and engineered for performance. Working across technical and business teams, youll translate complex requirements into scalable, resilient data solutions that support analytics, reporting and operational insight. Your remit will include: Architecting and optimising Snowflake data platforms Leading data ingestion, transformation and consumption strategies Delivering complex data migrations into ...

.NET Developer that can hit the ground running and be instrumental in the creation of stylish and innovative new web applications and data analytics software. Every possible resource will be at your disposal to help you achieve this. We are looking for .NET Developer that have a strong background ...

data management strategies and frameworks. Required qualifications, capabilities, and skills Significant experience in financial services, with a background in operations, finance, program management, data analytics, or business analysis. Proven track record leading projects or business-as-usual initiatives focused on data quality, data lineage, control documentation, and metadata management. Advanced ...

with backgrounds in econometrics or financial mathematics, statistical marketing, renewable or chemical engineering, commercial law, regulation or strategy and data science, data engineering or analytics - particularly where there's ML/AI capability. A passion for renewable energy, EnergyTech and FinTech is a great start! What will you be doing ...

Data Engineer if you have: Designed, built, and managed ETL/ELT pipelines using data engineering cloud services using Azure Data Factory, Azure Synapse Analytics and/or Fabric pipelines Designed and orchestrated data curation pipelines/jobs with Databricks (PySpark/SQL). Handled Git with code review ...

change calendars, agendas and records; collaborate with technology and operations leads to support readiness and risk mitigation. Define and track adoption metrics (e.g., usage analytics, training completion, support tickets, feedback) and use insight to improve outcomes. Identify gaps in understanding/adoption, reinforce change and share success stories. Coordinate training ...

change calendars, agendas and records; collaborate with technology and operations leads to support readiness and risk mitigation. Define and track adoption metrics (e.g., usage analytics, training completion, support tickets, feedback) and use insight to improve outcomes. Identify gaps in understanding/adoption, reinforce change and share success stories. Coordinate training ...

will be central to improving performance, upgrading legacy environments, strengthening security, streamlining data flows, and shaping how data supports reporting, operations, and future analytics . Key Responsibilities: Take ownership of the SQL Server estate across a complex operational environment. Lead SQL upgrades, standardisation, and estate simplification . Build and maintain ...

4HANA, Oracle, Microsoft Dynamics) Software engineering (Java, .NET, Python, React) Cloud platforms (AWS, Azure, GCP) DevOps & Platform Engineering (CI/CD, Kubernetes, Docker) Data & Analytics, Cybersecurity, AI/ML Embedded systems, IoT, or digital transformation programmes Enterprise architecture or high-growth international environments What s on Offer Fully remote ...

Microsoft SQL Server-based environment, supporting data migrations, building and optimizing ETL processes, and ensuring data is reliable, secure, and performant for downstream analytics, software and reporting. Support database migrations, upgrades, and schema changes with minimal downtime Design, build, and maintain robust ETL/ELT pipelines to ingest, transform ...

data quality frameworks, including deduplication, enrichment, validation, and monitoring Own integrations between Salesforce and core systems Ensure compliance with data privacy standards and regulations Analytics and Insight Develop executive-level dashboards and reports covering pipeline, forecasting, revenue, customer health, and operational KPIs Partner with senior leadership to define key metrics ...

language. Champion data accuracy and consistency; implement best practices for data validation and documentation. About you: 4+ years experience as a Data Analyst or Analytics Engineer. Advanced proficiency in SQL (Window functions, CTEs, query optimization) for complex data extraction and manipulation. Experienced in building, testing, and documenting data models using ...

innovative solutions to prototype and test Strong familiarity with tools such as Jira and Rally. A keen interest and understanding of research, data, and analytics Experience in matrix organizations and cross-functional environments Experience managing multiple stakeholder objectives ...