• Shape the AI & Data Vision • Own the Predictive Roadmap: Drive the vision and strategy for our external AI/ML models, advanced analytics features, and data products. • Co-Innovate with Clients: Embed deeply with strategic customers and design partners to validate ideas, uncover raw user needs, and co-develop next-gen features. • Tell the Story of Data: Partner with UX and Data Science to turn complex backend algorithms into beautiful, intuitive data visualizations and high-impact product demos. • Execute & Ship with Impact • Translate Complexity: Act as the ultimate bridge. Translate messy customer business problems into precise technical specs, transformation logic, and data requirements for our engineers and data scientists. • Own the GTM: Collaborate with Product Marketing and Sales to launch features that aren't just technically impressive, but actually move the needle on SaaS metrics (Adoption, Retention, ARR expansion). • Hypothesize & Validate: Use your analytical skills to dive into data assets, validate assumptions, and prove (or disprove) product hypotheses before writing code.

• Collect, clean, and interpret complex datasets to extract actionable business insights. • Bridge the gap between raw numbers and strategic decision-making by identifying trends, building visual dashboards, and communicating findings to non-technical stakeholders • Develop complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives that are complex in nature. • Collaborate with cross-functional teams to identify and establish analytics requirements. • Create detailed documentation and business plans that address stakeholder needs. • Liaise between IT and Product Management for data solutions. • Use advanced understanding of data elements, structures, standards typically involved in financial services transactions, reporting, and cloud-based data storage/sharing to adopt and apply standards in a way that satisfies and balances regulatory and compliance requirements with business needs. • Develop and implement complex enterprise-wide data integration strategies that utilize various data-marts and data warehouse applications to enhance reporting. • Continuously work to improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines. • Consult with minimal guidance from Principal on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings. • Manage data from multiple sources and use project management skills to complete complex projects with minimal coaching and guidance. • Transmit data and proactively work to ensure data quality. • Troubleshoot data issues and devise creative and effective ways to avoid or mitigate issues.

• Support the Data Governance Team to expand program adoption across Synchrony through communication, training, and support of the oversight community • Support PII data discovery and scoping operations (where applicable), including scan monitoring/triage, exception management, and coordination of remediation actions with responsible teams • Support consumer rights / DSAR operational processes (as applicable), including fulfillment of CCPA/CPRA right-to-access and right-to-erasure requests in alignment with internal Privacy OLAs • Support outbound data sharing governance with third parties by managing the request process and overseeing the workflow, expediting emergency requests, supporting process questions/issues, and ensuring timely progression through required approvals • Routinely engage with the Supplier Management, Legal, and Information Security teams to support timely risk assessment coordination, issue resolution, and completion of required approvals • Support governance automation and workflow optimization initiatives to reduce manual effort in risk intake, assessment, tracking, and reporting • Develop and maintain governance analytics and reporting, including operational and risk KPIs/KRIs, dashboarding, and executive summaries of operational throughput, compliance, remediation progress, and program adoption • Identify process efficiencies/deficiencies using data and operational insights; produce recommendations, propose control enhancements, and support implementation of process improvements and standardization • Participate in the analysis of platform defects and data issues; support triage, root cause documentation, remediating planning and execution tracking • Manage the development, enhancement and standardization of governance documentation (policies, procedures, playbooks, job aids) and training materials; review training completion/usage statistics and recommend enablement improvements

Role Description As an Analyst on our Data Centers team, you will play a crucial role in delivering exceptional advanced analytics to support our clients in capital allocation decision making in a massive growth area. You will lead the development of new analytics focused on compute demand and the influence on accelerator market dynamics, and support research on how it impacts data center development and power markets. This role will have the opportunity to influence product development and expand our client base. Our people are passionate and have a strong belief in our mission. Our efforts impact individuals and communities, all the while working toward a net-zero future. If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you. What You’ll Do - Lead the analysis of the emerging compute market, including topics like supply, demand, term lengths, utilization, and how developments of new GPUs or other accelerators (ex. TPUs) will influence the market. - Develop advanced analytical models focusing on compute economics ($/TFLOP, $/GPU-hr, etc.) and how capital and operating costs influence the model. - Contribute to the development of GPU price forecasts and forward curves, including developing a view on how shifting workloads (i.e. training vs inference) and changing markets impact those outlooks. - Write actionable reports summarizing the outputs of the analysis and forecasts, distilling the takeaways for Orennia’s clients. - Work closely with our clients to create customized solutions to their most pressing and complex problems. Qualifications - 5+ years of relevant work experience, ideally in infrastructure, energy or data center development. - Strong modeling, analytical and problem-solving skills, with experience modeling datacenter, colocation, cloud or GPU procurement economics. - Experience applying analytical models to real-world commercial or investment decisions. - Strong technical foundation, with familiarity in tools such as Python, SQL, and optimisation or production cost modelling frameworks. - Proven ability to engage with stakeholders and translate complex analysis into clear, decision-ready insights. - Entrepreneurial mindset with the ability to operate effectively in a fast-paced, high-growth environment. - Comfort operating with ambiguity and speed; strong judgment on when analysis needs more rigor vs. when a directional answer is sufficient. - Bachelor’s degree in economics, computer science, engineering, or relevant field. - You are hungry to learn and contribute. Our organization is growing, and this role is an exceptional opportunity to grow with us. Benefits - Competitive total rewards package. - Comprehensive health, dental and vision benefits. - Savings program that includes company matching. - Learning and development budget to master your craft. - Generous time off with regular company holidays, paid vacation days and paid sick days.