Design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. Develop scalable solutions and like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques.
As a Data Analyst, your primary responsibility will be to work with stakeholders across business functions to build analytics products that enable data-driven decision making. You will guide analytics projects from discovery to solution and help us raise the bar for how we should apply our data to business decisions. On the analytics team, you will work cross-functionally with business partners to answer questions, provide ad hoc analysis, and build enterprise level dashboards.
Shape the future of how Wikimedia’s vast data ecosystem serves both internal teams and the global community. Drive the Data Platform Engineering team’s effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.
This role involves working directly with colleges and universities across the US and Canada to explore their reporting needs and provide the necessary services to help them make better decisions using their data. You'll join a team of SaaS-focused consultants, using a variety of tools as schools modernize and move to a SaaS-ready world to help college and university clients to develop business intelligence strategies
The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. The Sr. Analyst will partner with Sales and Customer Success teams to monitor the optimization platform, design surveys, introduce segments to boost model exploration, and deliver insight presentations and lead marketing strategy discussions with clients.
The Data Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support.
This role is critical in defining the future of Truveta's analytics offerings, spanning from advanced notebooks to innovative visualization tools that make regulatory-grade healthcare data accessible and actionable. The Senior Product Manager will own the charter to transform how medical researchers access, analyze, and derive insights from real-world evidence (RWE). You will be responsible for building delightful analytics experiences that simplify complex statistical analysis for clinical researchers while driving engagement through intuitive dashboards and seamless data workflows.
Play a pivotal role in shaping our data strategy and enabling data excellence across the business as Senior Data Engineer, Analytics. Deliver high impact code to create pipelines, visualizations, dashboards, and solutions that enable us to develop faster and the business to make informed decisions confidently. Balance feature delivery with a simple, performant design.
The Data Analyst translates insights into clear, compelling narratives for clients and internal teams. You’ll be a core partner to the Agency Team around client strategy, helping shape pitches with relevant data, optimize campaigns in real time, and deliver impactful wrap-up reports that keep clients coming back. You'll also provide regular data analysis throughout the campaign life cycle to surface actionable insights.
Support the revenue recognition process by analyzing revenue trends across customer cohorts and reconciling revenue data between sales opportunities and bookings, including contributions to quarterly and board-level reporting. Contribute to the operationalization of finance-focused recommendations by collaborating with internal clients using a consultative approach.