1 to 25 of 111 Remote Contract Analytics Jobs

with the capability to interpret financial information and design financial models. Communication Skills: Excellent communication skills, comfortable presenting to diverse audiences and conducting workshops. Preferred Qualifications: Familiarity with data analytics tools (PowerBI, Alteryx, Python) and AI applications in Financial Services. Experience leading data-related projects, with project management qualifications as an advantage. Knowledge of Corporate and Investment Banking systems is More ❯

Design and build dashboards and reports using Power BI and D365 Collaborate with stakeholders to identify reporting needs and streamline processes Support ongoing data projects, offering best-in-class analytics and data visualisation Ensure data accuracy, integrity, and accessibility for business-critical decisions Requirements: Proven experience as a Senior Data Analyst in a commercial environment Strong knowledge of Microsoft Dynamics More ❯

experience as a Power BI Developer. Strong data modelling skills and familiarity with cloud-based data sources and Microsoft Fabric. A solid background in delivering Power BI/Microsoft Analytics solutions with governance awareness. Expertise in building data semantics for Power BI reports using SQL, DAX, and Power BI. Experience gathering BI requirements and understanding business needs at various levels. More ❯

with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply More ❯

using Infrastructure as Code (ARM templates, Bicep, Terraform) Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions Integrate monitoring and alerting via Azure Monitor, Log Analytics, and Application Insights Data Provisioning & Governance: Optimise data pipelines and storage solutions (e.g., Azure Data Factory, Synapse, Blob Storage) for cost and performance Ensure compliance with data governance policies including More ❯

Familiarity with server-side administration including disk usage, security, and performance tuning. Experience collaborating with Finance, Data Management, and IT teams. Proficiency in Power BI and other reporting/analytics tools. Exposure to multiple Project Controls functions: cost control, estimating, scheduling, change and risk management. Understanding of NEC and FIDIC contract types. Experience in the nuclear sector. More ❯

to implement analytical solutions. Continuously identify opportunities to improve workflows and accelerate decision-making. Key Requirements To succeed in this role you will need: Solid experience in data science, analytics, and programming (Python, SQL). Ability to interpret complex model behavior and performance metrics into actionable insights. Curiosity and initiative to explore data and uncover hidden trends. Experience with model More ❯

Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part of a mission-driven team transforming how people access food. Work with More ❯

use, the following (or similar equivalent) software tools: Microsoft Office software (Excel, Word, PowerPoint, Access). Teamcenter (Document Control). ARM (Risks, Opportunities, Trends). Power BI (Business Intelligence Analytics). More ❯

Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language models, computer vision, and predictive analytics to tackle complex challenges. Cross-functional Collaboration: Partner with Innovation Designers to align technical development with design concepts and business goals. Agile Methodology : Employ agile practices for high-quality code More ❯

functional settings with the ability to handle multiple priorities effectively. Outstanding communication and stakeholder management skills. Desirable: Familiarity with tools and technologies like ERP, LIMS, MES, RPA, or data analytics platforms. Knowledge of methodologies such as Agile, Waterfall, or hybrid delivery approaches. Awareness of pharmaceutical regulations and standards, including GxP, GMP, GDP, or equivalent. Proficiency in using business process modelling More ❯

BigQuery or Snowflake Experience working with large, complex, and high-volume data sets The ability to unify, collate, and interpret data to support data-driven decisions Proficient in using analytics platforms and user behaviour tools to extract actionable insights Skilled in data visualisation and reporting using tools like Power BI , Looker Studio , or Tableau What to do next If this More ❯

competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how More ❯

independently. Experience coordinating with multiple engineering and product teams. Preferred Qualifications: Experience in graph databases and advanced AI frameworks. Previous exposure to Agentic systems and chains. Experience automating data analytics and reporting across multiple systems. Why Join: You will work on high-impact Gen AI projects, including privacy automation, workflow optimisation and agentic systems. This is a chance to work More ❯

and Legacy Workflow Editor. Service Portal Development: Custom widgets, pages, and themes. Data Management: Import Sets, Transform Maps, and Data Policies. Configuration Management: Working with CMDB and Discovery. Performance Analytics and Reporting: Creating dashboards and custom reports. Security and Access Control: Roles, ACLs, and data protection best practices. Certifications: Certified System Administrator (CSA) Certified Application Developer (CAD) Certified Implementation Specialist More ❯

engineers, data engineers, and product owners, to conduct design reviews and critical feedback sessions aimed at enhancing product delivery. Stakeholder Partnership: Influence and partner with stakeholders across the insights & analytics space, as well as the broader Tech/Data science organisations, to contribute to the development of the data architecture and data/AI solution framework. Governance & Compliance: Ensure that More ❯

financial crime risks including regulatory interaction Experienced in working with requirements in IT development activities preferably in Anti-Financial Crime area Proven delivery of AI/ML or advance analytics solutions, ideally in financial crime, transaction monitoring, or fraud detection settings Deep understanding of AML transaction monitoring, including alerting logic, typologies, thresholds, alert investigation, and SAR frameworks Skilled in stakeholder More ❯

recommend improvements to systems and processes. Review and assure the quality of software delivered by external suppliers, collaborating with them to resolve issues. Support the organisations business intelligence and analytics needs by developing technical solutions that enable accurate reporting Protect and maintain the security, integrity and confidentiality of data in line with BPAS information governance standards. About us British Pregnancy More ❯

Data Analytics Engineer Location: Central London - hybrid working Rate: £500.00 per day inside IR35 Duration: 12 months We are working with a leading global player in the travel industry who are seeking a Data Analytics Engineer to join their data team. This role sits at the intersection of data analysis and data engineeringideal for someone who enjoys building scalable data … solutions while staying close to business impact. The Role As a Data Analytics Engineer , youll design, build, and maintain reliable data pipelinesprimarily using PySpark, SQL, and Python to ensure business teams (analysts, product managers, finance, operations) have access to well-modeled, actionable data. Youll work closely with stakeholders to translate business needs into technical solutions, ensuring data is trusted, scalable … and production-grade. Unlike pure Data Engineers, youll be closer to the business, shaping analytics-ready datasets. Unlike pure Data Analysts, youll spend more time coding, managing data infrastructure, and ensuring pipeline reliability. Who Were Looking For Data Analytics : Analysts who have strong experience building and maintaining data pipelines (particularly in PySpark/SQL ) and want to work on production More ❯

raw data, building robust data models, and delivering actionable insights through Power BI A Microsoft certification relevant to the role is highly desirable. This could include: DP-600: Implementing Analytics Solutions Using Microsoft Fabric or PL300: Microsoft Power BI Data Analyst. Or a comparable certification in data engineering, data warehousing, or business intelligence. Provide examples of your work, such as More ❯

raw data, building robust data models, and delivering actionable insights through Power BI A Microsoft certification relevant to the role is highly desirable. This could include: DP-600: Implementing Analytics Solutions Using Microsoft Fabric or PL300: Microsoft Power BI Data Analyst. Or a comparable certification in data engineering, data warehousing, or business intelligence. Provide examples of your work, such as More ❯

practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

Roadmap , aligned with business priorities and risk management needs. Improve the accuracy, availability, and accessibility of data across systems, dashboards, and reporting. Guide a junior international data team (BI, analytics, engineers) to elevate capability and standards. Work closely with engineers to ensure SQL optimisation and efficient data processing. Partner with the Head of Data and Head of Product to embed More ❯

with building multi-agent systems and understanding of multi-agent design patterns. Graph database knowledge is a plus. Proficient with tools such as Charles, Git, and Jenkins. Automate data analytics and reporting across multiple systems. Strong understanding of software build tools and CI/CD integrations Lead coordination with multiple Engineering and Product teams to expedite issue prioritization and resolution. More ❯