45 results
FiltersCare Delivery’s Capacity & Analytics team is responsible for care team capacity modeling, care team scheduling, data analysis & reporting, and workforce optimization. Omada is hiring a Senior Data Analyst to join Care Delivery’s Capacity & Analytics team to build and improve a capacity model, own analysis in support of care delivery initiatives, and define metrics and KPIs.
Peek is seeking a data-driven Data Analyst to transform data into valuable insights, experiments, and product enhancements. In this position, you'll collaborate with Product, Engineering, Operations, and Leadership, comprehending customer behaviors, pinpointing friction in product flows, and influencing Peek's analytics ecosystem. This is suitable for someone who enjoys SQL, comprehends BI tooling, and is enthusiastic about AI in data work.
This role is perfect for someone who thrives on autonomy, enjoys solving problems, and wants to make a real impact by turning data into actionable insights. You’ll be part of a collaborative, forward-thinking team where your curiosity and initiative will be valued. Tasks include monitoring data accuracy, creating dashboards and resolving data issues.
The Senior Business Intelligence Analyst will lead and implement key areas of Omnidian’s business intelligence strategy and engage with Omnidian's leadership and executive teams to provide cross-functional insights and reporting. Responsibilities include client reporting, analytical design, report development, implementation, data insights, and recommendations.
The Senior Data Analyst will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that ensure strategic decision-making and drive business growth. We are looking for an experienced and motivated Senior Data Analyst with technical expertise, business insight, and a proactive mindset to solving problems.
Lead, coach, and mentor a high performing team of data scientists, analysts, and associates dedicated to Finance data science and Market risk initiatives. Deliver high-quality financial metrics and advanced analytics to support key decisions related to financial planning, treasury operations, and liquidity management. Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.
You will be responsible for building robust, efficient and integrated data models that enable our fraud analytics and machine learning. These core data models will serve as the foundation of our fraud strategy, allowing the team to monitor and detect fraud trends, build machine learning models, and launch new fraud defenses. In this role, you will have the opportunity to: Build data models in the cloud data warehouse that will be used as the source of truth for analytics and predictive modelling.
Drive deep business understanding and leverage data to identify critical business checks, anomalies, and define key business rules. You will play a pivotal role in bridging the gap between business needs and technical execution, working closely with ML and Data teams to translate insights into robust data solutions and define compelling project definitions. This role is crucial for enabling both internal teams and New Relic customers to gain trusted and actionable insights from data, driving strategic business outcomes.
As Leonardo grows, their data ecosystem is expanding in scope, complexity and opportunity. You will help create the clarity needed to turn data into opportunities, which will be acted on with fast, confident action. A cohesive, insight-led organisation will evolve from multiple parallel insight streams with your leadership.
Will drive Greenlight’s data reporting and analysis work, building visualizations and dashboards that track key metrics and inform decision-making across the organization. This person will also develop reporting on clean-tech industry trends, including data on large-scale projects and media coverage, to help identify opportunities and risks. A successful candidate will be someone who likes working collaboratively and iteratively and is willing to take risks.