Remote Data Jobs

Focus on project work, debugging performance degradations, audits, and health checks. Design and help implement new Cassandra deployments and evaluate existing clusters and provide recommendations on best practices. Debug high priority issues on mission critical production environments and contribute to rapid brainstorming, designing and developing of prototypes.

Due to growth, we are adding a Data Integration Developer to our team! You will have a background in data integration technologies and an understanding of database systems, ETL processes, and data warehousing concepts. You will collaborate with cross-functional teams to design, develop, test, and implement data integration solutions that meet business requirements and ensure data accuracy and integrity.

As a Senior Analyst at Wisetack, you will play a pivotal role in shaping the future of our consumer lending product by developing data-driven solutions for key business functions, including growth, operations, and product. Bring deep technical expertise and business acumen to connect the dots, deliver impactful insights, and identify scalable opportunities that align with our strategic goals.

Lead large, multi-month analytics infrastructure projects. Responsibilities include monitoring and optimizing complex DBT job structures, designing multi-domain marts, developing complex metrics on big datasets using DBT and the DBT semantic layer, building automated data quality monitoring, and creating scalable, self-service analytics infrastructure.

Enable the scaling and advancement of Spotify Advertising by working with our self-service advertising platform, Spotify Ads Manager. Operate at the crossroads of R&D and the Ads business, providing key data and insights to a wide range of partners to help them understand the performance of Spotify Ads Manager and the advertiser experience with Spotify.

You will use data to drive insight into the product and business with a focus. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis to support product improvements and business decisions.

The product analytics team is responsible for the development, evaluation, and maintenance of data-driven insights on product strategy and performance. As a product analyst, you are expected to proactively identify opportunities for product improvements and innovation through data analysis, collaborate effectively across cross-functional teams, and ensure analytical accuracy and alignment with overall business objectives.

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. This role supports the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases, while focusing on optimisation of our Data Warehouse.

This position is needed to co-create with Generative AI tools, partner closely with business stakeholders, and turn data into decision-driving narratives, working at the intersection of strategic insight generation, technical analytics, and AI-augmented discovery, helping us not just answer questions, but ask better ones.

As a Clinical Forecasting Analytics you will be joining the world’s largest & most comprehensive clinical research organisation. You will support IIS (4-500 trials) and a Managed Access portfolio, providing insight to the leadership team within Medical Affairs. Responsibilities include data on demand (FTEs), OOPS (out of pocket spending), and FTE support, focused on the FTE side (costs), also require to articulate budget vs. budget commentary for shifts and changes in the portfolio.