Top Data Jobs in Edinburgh

The Analyst will manage data representation for products, collaborate with stakeholders to address data needs, and execute operational changes.

The role involves managing the delivery of data products in a financial services context, coordinating cross-functional teams, and ensuring project alignment with business goals.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Data & Recon Team Lead oversees intelligence gathering and data analysis, leading a team to achieve goals, manage resources, enhance collaboration, and ensure timely delivery while mentoring team members.

Lead the strategic direction and roadmap of Samsara's Reporting Platform, enhancing data analysis through AI/ML, and managing customer relationships and complex technical initiatives.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Senior Solution Consultant provides technical support to clients, leads presentations and workshops, mentors junior consultants, and collaborates on customer needs to drive satisfaction using Guidewire solutions.

Lead the Vehicle and Asset Data Platform, defining its roadmap, optimizing data acquisition, improving data quality, and collaborating with teams to drive innovations in telematics.

As a Business Development Manager, identify new clients and develop business opportunities while building strong relationships and managing a complex sales pipeline.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Director of Government Sales will lead public-sector engagement in agriculture and disaster management, drive partnerships, and manage the entire sales cycle while representing Tomorrow.io globally.

Lead complex data architecture initiatives for financial clients, focusing on cloud transformation and enterprise data strategies.

As a Data Analyst at Kaluza, you'll analyze data to derive insights, build dashboards, and support product performance improvement through analytics.

Seeking a Data Engineer to build and maintain data pipelines and systems, ensure data quality, and collaborate with teams for analytics and business decisions.

The Principal Product Manager - Data will lead data products, define strategic direction, and collaborate across teams to drive business impact and innovation.

As a Clinical Data Coordinator, you will review and validate clinical trial data, resolve discrepancies, and collaborate with teams on project statuses.

The Data Analyst will collaborate across teams to improve data collections, analyze data change requests, and engage with stakeholders to co-create solutions, enhancing regulatory decisions and data quality.

Leads identification and remediation of data resilience gaps, assesses data flow and vulnerabilities, presents findings, and ensures compliance with FCA and PRA guidelines.

The Key Account Director will foster relationships with a strategic enterprise client, driving growth and managing multiple projects while ensuring effective account management.

The Senior Data Owner will manage corporate datasets, collaborate with teams to define data standards, and lead data transformation projects, ensuring quality and governance.

The Principal Data Engineer will design and implement data architectures, optimizing solutions for cloud environments, while collaborating with stakeholders and mentoring team members.

The VP Sales will drive growth by actively seeking new clients, managing a sales team, and ensuring successful delivery of solutions while maintaining strong customer relationships.

Lead a team of data engineers, overseeing data product development, guiding technical solutions, and collaborating with cross-functional teams to enhance data systems.

Lead the technical design of data infrastructure, implementing scalable and secure data pipelines while collaborating with engineering and product teams.

The role involves managing data collection for model training, extending cloud infrastructure, and collaborating on dataset roadmaps, seeking to scale data operations effectively.