Top Data Jobs in London
The Head of Data Operations will lead efforts to improve data quality, speed, and collaboration within the organization. Responsibilities include coaching teams, supporting data transfer plans, managing data quality systems, and developing technical standards for data processing and sharing. Additionally, the role involves developing the data operations team and providing technical leadership. The position is for a 12-month fixed term contract.
Create high-quality predictive signals by leveraging large datasets and identifying statistical patterns. Share and discuss research results and methodologies with other researchers. Pursuing an advanced degree in quantitative fields like data science or statistics.
Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.
Draft, review, and negotiate commercial contracts with a focus on data privacy elements and implications. Advise on global privacy and data protection requirements and develop privacy compliance function. Provide legal and strategic business advice to support high-growth goals of the company.
As an Analytics Engineer at Epsilon, you will lead projects in developing attribution models, statistical interpretations, and identifying key drivers of technology success. This hybrid role involves collaborating with global teams and working on high-impact data innovation for Yieldify & Epsilon.
The Data and Analytics Manager will support the D&A Partner in leading and managing all D&A work on a large mobile network provider, specifically driving the strategic use of data to support business goals.
Collaborate with cross-functional teams to optimize customer journeys, improve data pipelines, establish best practices for data access, present insights to stakeholders, and support building performance dashboards. Utilize strong communication, SQL knowledge, business acumen, analytical and problem-solving skills to drive data-driven decisions and solutions.
Translate data requirements into robust data models, focus on credit regulatory submissions. Collaborate with team, maintain documentation, own projects end-to-end. Strong experience in SQL and credit domain, attention to detail, communication skills, and Looker.
Seeking a Senior Analytics Engineer to optimize data models, improve usability of data, and increase impact for the Experimentation Team at Viator. Responsibilities include executing strategic projects, making tactical improvements to data infrastructure, and communicating with stakeholders. Key requirements include Bachelor's Degree, 5+ years in analytical roles, advanced SQL skills, and ability to communicate effectively across functions.
As an Analytics Engineer at Epsilon, you will spearhead reporting practices, develop attribution models, apply statistical interpretation methods, and identify key drivers of technology success in a global role including customer-facing aspects.
Lead Analytics Consultant responsible for creating business value through analytics process automation, data visualization, and statistical analyses. Work with stakeholders to build minimum viable products, production applications, and enable organizations with necessary skills through training and coaching. Execute project work independently, support internal initiatives, and serve as subject matter experts for the team. Utilize tools like Dataiku, Alteryx, Tableau, Power BI, Power Platform, Sigma Computing, SQL, Python, AWS, Azure, Snowflake, and Databricks.
The Data and Analytics Manager will support the D&A Partner in leading and managing all D&A work on a large mobile network provider, specifically driving the strategic use of data to support business goals. Responsibilities include overseeing data collection, analysis, and reporting processes, collaborating with various teams, and ensuring the integrity of data outputs.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
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