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FiltersPrimarily work with the Marketing team, helping to make correct data-informed decisions. You will automate the management and monitoring of marketing platforms. Building scripts and tools to interact with ad platform APIs, streamlining routine tasks is part of the role. Create AI-assisted workflows using LLM APIs and develop dashboards and reports that provide transparency into campaign performance and business KPIs.
Perform comprehensive data analysis to identify patterns, trends, and anomalies in data; Utilize Python, SQL, AWS, and Pyspark to extract, clean, manipulate, and transform data for analysis purposes; Generate reports and visualizations using appropriate tools to communicate findings to technical and non-technical stakeholders; Continuously monitor data quality and provide data insights.
Extract and organize data from multiple blockchains using RPC, API, or smart contract calls. Develop and maintain the software stack for collecting and indexing transaction data for efficient consumption. Maintain a reliable API to provide comprehensive account histories and ensure data is auditable and meets SLAs. Track and monitor public blockchain sources and find necessary data for analysis.
Develop new novel and state of the art AI/machine learning models to support risk strategies. Recommend data-driven, risk-based business decisions to positively impact KPIs across Trustly's payment portfolio. Conduct analysis to measure model performance, compare performance across multiple models, and influence model strategy and selection decisions.
The Product Analytics team is looking for a Sr. Manager, Product Analytics, who will play a critical role in driving the growth of our personal loans business and product strategy. Sitting at the intersection of product, risk, and business insights, the Product Analytics team plays a critical role in analyzing & optimizing new product features as well as driving the omni-channel strategy across our channels.
Ruby Labs is hiring an experienced Senior Data Analyst to join their fast-paced and rapidly growing team. In this role, you will create new reports, improve current ones, and ensure well-modeled data for decision-making. The responsibilities include partnering with Product Owners and Data Teams to create dashboards, analyze user behavior, identify trends, and build robust data models in SQL. You will monitor metrics and provide actionable feedback.
As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.
As a Data Scientist, you will actively contribute to the design and evolution of our suite of products focused on fraud detection, anti-money laundering, and claims automation. You will also work on various data types, including structured data, unstructured text, documents, and images. This opportunity is perfect for recent graduates looking for their first Data Science role, starting in January/February 2026.
Looking for a Mid Level Data Visualisation Engineer with strong knowledge in developing and maintaining data ingestion pipelines and integrating data from various sources, such as APIs, relational databases, files. Design, build, and optimize semantic data models in Power BI to support self-service analytics and enterprise reporting. Develop, maintain, and optimize Power BI dashboards, reports, and datasets, ensuring accuracy, usability, and performance.
As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.