The Data Visualization & Operations Analyst enhances the existing data reporting framework by automating dashboards, validating data accuracy, and developing meaningful visual insights that drive compliance, preventive maintenance, and operational excellence. You will transform raw data into actionable intelligence—empowering leadership with visibility into SLA performance and predictive operational trends. This role impacts operations across hard and soft services.
Primarily 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.
Radicle Health is looking for a Product Analyst & Insights Manager to empower product teams to operate efficiently, make informed decisions, and scale product success across the organization. In this role you will enable product teams to focus on strategy, deliver impactful solutions and achieve shared goals across teams with a passion for data storytelling.
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.
Establish the foundation for how data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Transform raw data collections into valuable, AI-ready datasets. Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling data.
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.
Shape the future of AI as an experienced geospatial professional. Guide model development and evaluation for a geospatial reasoning agent focused on Crisis Response. Your expertise will help AI systems understand, assess, and predict real-world events where data is uncertain or incomplete. You'll review geospatial scenarios, validate model outputs, and define reasoning frameworks to improve data-driven evaluations.