**About ETS:** ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. The Generative BI Engineer plays a pivotal role in redefining how business intelligence is delivered through the integration of generative and predictive AI technologies. Generative BI Engineer will bring forward a forward-thinking team leveraging cutting-edge AI technologies to transform business intelligence. This is an opportunity to work at the intersection of data engineering, data science, and business analysis, driving impactful and innovative solutions in a fast-evolving landscape. This position has two primary functions: 1. Define, design, build, and test dynamic BI dashboards and visualizations using cutting-edge technologies. Incorporate generative AI to present data in innovative ways and predictive AI for trend analysis and forecasting. 2. Address complex business challenges by mining data from internal and external sources to deliver visually-driven insights that empower decision-makers, utilizing generative and predictive AI techniques. They should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. They will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, and deliver information about our leaders that we might never have considered. This position represents an exciting opportunity to be a part of a dynamic and high-paced environment, leveraging cutting-edge AI technologies to drive business intelligence. Responsibilities + Design and develop interactive dashboards and reports that leverage AI-driven insights for impactful decision-making. + Use generative AI to create innovative data presentations, enhancing storytelling and stakeholder engagement. + Apply predictive AI techniques to identify trends, forecast outcomes, and support strategic initiatives. + Generate new content, including text and images, using existing data to enhance business insights and user engagement. + Predicts future trends and evaluates potential risks based on historical data (e.g., demand forecasting). + Provides insights and recommendations to support decision-making processes. + Own the BI landscape - design, build, document, and maintaina single source of truth for KPIs and dashboards using front-end BI tools such as Tableau or Power BI + Help connect the dots across operational functions through data visualizations to provide a holistic view of Operational services and processes + Help in makeing informed decisions, optimize operations, and improve overall efficiency + Own development of visualizations and assembly of analytics “story” indicating trends, patterns and outliers + Manipulate/mine data from database tables, log files using scripting languges. + Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards + Perform deep-dives and root cause analysis to answer business questions + Effectively communicate solutions and methodologies to leadership + Work closely and be hands on with the Data Engineering team to ensure the availability and accessibility of relevant data for reporting purposes. + Analyze existing reports and optimize them for standardization + Ensure data accuracy by validating data for new and existing tools. + Participate in the preparation of cost and resource estimates needed to complete sections of complex data analysis proposals. Develop estimates on smaller data analysis projects. + Implement full technical documentation of data analysis systems, solutions and results. + Develop professional contacts through association memberships, and attending seminars, to provide continuing awareness of recent advances in numerical analysis, computer science and statistical technologies. + Defines acceptance criteria, test plans and provide feedback on solutionsas and when necessary + Apply industry standard UI design, data lake needs, to assist in providing optimumsolutions + FollowsAgile developmentprocesses(via JIRA) and uses Confluence to document everything as requested + Develop and implement algorithms to create personalized content from existing reports, such as custom recommendations tailored to business questions. + Adhere to ethical standards and comply with the laws and regulations applicable to your job function. Skills + Experience designing & building intuitive and actionable dashboards and data visualizations, reports, filters, metrics that drive business decisions + Strong storytelling skills and clear communication / writing skill + Fluent in talking to both data analyst and functional teams + Adept at adjusting visualizations based on applied business context + Understand Agile process to create the needed user stories and specifications + Strong SQL and programming skills like Python. + Proven expertise with Tableau & Advanced PBI Skills. Microsoft Onelake experience a big plus + Faciliates and explores clear business requirements. Understands the unspoken needs and ability to clearly articulate the same via a business data story + Clearly articulates data lake needs via visio + Creates What-If senarios via PBI and Excel, Product mix similar models and ability to provide deep insights with every dashboard built consistently every week. + Prepares Acceptance test for all requirements + Produces Status reports, production planning reports and other project-related documentation + Experience with natural language processing (NLP) and generative models (e.g., GPT, BERT). + Proficiency in using tools and frameworks for content generation and text analysis. + Experience in developing applications that leverage generative AI for business use cases. + Experience with time series analysis, regression models, and classification algorithms. + Proficiency in using predictive analytics tools and platforms (e.g., TensorFlow, Scikit-learn). + Expertise in advanced predictive modeling techniques, including ensemble methods and deep learning. + Experience in deploying predictive models in production environments and monitoring their performance. Educataion/Experience + A Bachelor's degree in Computer Science, Mathematics or Statistics, or a closely related field or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired is necessary + Familiarity with AI frameworks like TensorFlow, PyTorch, and Keras + Familiarity with generative AI (e.g., GPT models, LLMs) and predictive modeling techniques. + Expert Experience using Python, Power BI,Visio, ETL (Apache NiFi, Talend, Informatica), R, MSBI Stack (SSIS, SSAS, SSRS, MSQL)