Top Data Jobs in Bristol
Teaching Assistant playing a critical role in teaching learners in a virtual Data Analytics training program. Responsibilities include supporting synchronous sessions, providing asynchronous support to Fellows, attending lectures, offering office hours, grading deliverables, and improving learner experience.
The successful candidate will turn data into information, information into insight, and insight into business decisions.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Veolia is seeking a Marketing Data Analyst to spearhead data-driven decisions and optimize campaigns within the marketing team of a leading Environmental company. Responsibilities include analyzing metrics, optimizing campaigns, providing data insights, and staying updated on industry trends. The role offers benefits such as annual leave, pension scheme, discounts, and ongoing training opportunities.
Join Welocalize as an Entry-Level AI Data Rater for projects advancing AI technologies. Evaluate e-commerce data, rate products, and contribute to enhancing global user experiences. This freelance opportunity offers flexible hours and $13/hour pay rate.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
The Data & BI Team Manager at Cognizant will bridge the gap between business and technical teams by solving complex Workday intersystem problems. Responsibilities include managing a team of Consultants, guiding clients through implementation phases, and providing expert guidance for Data & BI team engagements.
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Provide 3rd line support for data-related issues, act as a technical escalation point, monitor and troubleshoot databases/data warehouses, support ETL processes and data integration pipelines, collaborate with the data engineering team, develop technical documentation, communicate with clients, manage information security risks, manage relationships with suppliers.
Aker Systems, a highly secure enterprise data platform provider, is seeking a Lead Data Engineer to work on solutions that acquire, process, and present data for clients. Responsibilities include coding and testing data pipelines, refining database design, expanding data platform capabilities, and conducting data analysis. The ideal candidate should have experience in data pipeline development, data modeling, Agile methodology, AWS services, Python programming, and Test Driven Development.
The Data Science team at Moneyhub is responsible for generating value from various data sources and developing new commercial opportunities. The role involves working on machine learning models for transaction categorization and product development in a financial data setting.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
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The Competency Advisory Partner - Data is responsible for bookings targets, go-to-market interactions, pipeline development, supporting Rackspace sellers in promoting and selling the competency, advising customers, building the brand as a consulting partner for cloud transformation projects, and delivering exceptional outcomes for clients.
The Senior Digital Lead - Data & Analytics will be responsible for managing the Data & Analytics area for Finance within the Pet Nutrition sector at Mars, Inc. This role will involve overseeing the implementation of SAP S/4Hana and working on data collection, cleaning, analysis, reporting, and presentation for the ERP Digital Transformation program.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
Seeking a Data Analyst (Analytics Engineer) who excels in SQL, dimensional modeling, and data warehouse management. The role involves communicating and visualizing data insights, improving data accessibility, and guiding stakeholders in making informed decisions. Must demonstrate expertise in data modeling, stakeholder management, and storytelling through dashboards.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Aker Systems is looking for a Principal Data Architect to lead the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms. The role involves engaging with stakeholders, providing strategic guidance, and ensuring data solutions meet objectives and compliance standards.
Seeking a Senior Data Engineer specialized in Databricks to lead a data transformation program, develop scalable data solutions, and automate processes using generative AI techniques. Responsibilities include architecting data solutions, building data pipelines, optimizing models, and collaborating with cross-functional teams. Must have over 6 years of experience in Data Engineering with expertise in Azure and Databricks technologies.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
The Data Engineer will support the build of AI capabilities across Inizio Medical by building scalable data pipelines, designing data architecture, maintaining CI/CD infrastructure, setting up data APIs, and collaborating with various teams and stakeholders.
Develop and implement a detailed Treasury master data strategy, analyze data trends for cash management optimization, create custom reporting for senior management, and build centralized FX and Treasury data warehouse. Requires 5 years of experience in Data with knowledge of SQL, Tableau, and data warehouse management.
The Freelance Master Data Associate at WPP will be responsible for ensuring that the Master Data Management teams adhere to global processes for master data creation, changes, maintenance, and retirement, with a focus on Supplier Onboarding and compliance. This role involves reviewing and evaluating Supplier Registrations, leading the onboarding function, ensuring database accuracy, and following Sox and Internal Control policies.
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
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