Top Data Jobs in Edinburgh
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Lead Data Scientist at Blend, you will drive high standards in data analysis, utilize machine learning to provide actionable insights, manage projects and teams, and present findings to clients. You'll be instrumental in designing data science solutions and contributing to business development efforts.
The Principal Data Architect will shape data strategy, design and implement secure data architectures on AWS, mentor a skilled team, and ensure solutions meet high data security standards for complex projects.
The Freelance Master Data Associate will ensure adherence to global processes for master data management, oversee supplier onboarding through evaluation of registrations, verify documentation completeness, maintain a compliant supplier database, and follow internal control policies during the onboarding process.
As a Product Data Analyst, you will analyze client usage of reporting tools and provide improvement recommendations. You will generate internal reports, ensure data quality, maintain documentation, and mentor team members in analytics best practices while collaborating with customer success and product teams.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.
As a Senior Data Analyst at EFG, you will lead the development of data products and visualizations, guide team members, and enhance business decision-making through insightful analyses. You are responsible for project ownership and establishing best practices within the analytics team, using your expertise in both analytics and business to improve outcomes.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.
The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.
The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.
The Data Engineer at Blend will design, develop, and maintain data solutions that support actionable insights for stakeholders. This role includes preparing presentations, organizing raw data, managing data ingestion and transformation, owning projects, and mentoring junior team members while adhering to high delivery standards and innovation in data engineering.
As a Senior Data Engineer at Blend, you'll lead project delivery, mentor junior engineers, and design data solutions for actionable insights. You'll manage the ingestion, transformation, and storage of data, while collaborating with teams to deliver high standards and innovative data engineering solutions.
The Senior Data Science Consultant at Blend is responsible for solving complex problems using data analytics and machine learning. The role involves presenting findings to stakeholders, managing analyst teams, and mentoring junior staff. Candidates should have experience with various analytical tools, predictive modeling, and be comfortable working with messy data to uncover actionable insights.
As a Senior Data Analyst at EFG, you will guide analytics projects, build data products like dashboards, and drive business insights. You'll play a key role in understanding data ecosystems and enhancing analytical capabilities within the team while collaborating with business partners.
As a Senior Content Developer in Data Science, you will create and maintain data science courses on the DataCamp platform, support course development, provide feedback, and engage with expert instructors. Your role involves ensuring content quality and using data to suggest improvements, while managing project timelines effectively.
The VP of Real World Data at Clinigen will lead the strategic planning and operational delivery of Real World Data initiatives, manage P&L, develop client offerings, and enhance market competitiveness. Responsibilities include building a strong team, aligning with business development, and ensuring effective communication across stakeholders.
As a Data Scientist at Moneyhub, you will generate value from diverse data sources, focusing on machine learning applications for transaction categorization, and improve data science products to enhance budgeting and affordability features.
Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.
The Data Engineer/Senior Data Engineer at Inizio will support the building of AI capabilities, develop scalable data pipelines, design data architecture, maintain CI/CD infrastructure, and ensure data quality. The role requires collaboration with data scientists and other stakeholders, while also monitoring data system performance and integrating engineering platforms.
The Senior Data Engineer will build production-quality models and write microservices for large-scale data wrangling, utilizing DBT and Python. Candidates will work with AWS and collaborate on data pipelines, mentoring junior members while participating in a dynamic team environment.
As a Lead Data Engineer at Aker Systems, you will develop, test, and document data pipelines, refine database designs, and enhance data platform capabilities. Your role involves data analysis, ensuring data models align with architecture, and performing root cause analysis for data issues to identify improvement opportunities.
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