> Markdown version of [/jobs/ext/3804296-data-analytics-program-manager](https://www.wearedevelopers.com/jobs/ext/3804296-data-analytics-program-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Program Manager - **Company:** CBRE Group - **Location:** Concord, NH, United States - **Experience:** Expert - **Salary:** $119,995.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Database Queries, Python (Programming Language), Raw Data, Power BI, Tableau (Software), Data Analytics - **Published:** October 17, 2026 - **Apply:** https://dejobs.org/x/x/723B2DED35704966B9B25DAF891A5CA7/job/ ## About the Role * 5+ years in a data analyst or data-heavy program management role managing large, multi-variable datasets across complex portfolios * PMP certification or equivalent -- used to structure ambiguity, not just manage schedules * Advanced Excel/Sheets and hands-on BI tool experience (Tableau, Power BI, Quicksight, or similar) * SQL proficiency; Python a strong plus * Proven ability to build centralized tracking and reporting infrastructure from scratch across multiple stakeholder groups * Experience in capital-intensive industries -- energy, utilities, infrastructure, real estate, or logistics strongly preferred * Demonstrated ability to work backward from a messy data landscape and build clean, scalable systems that others depend on CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training, and experience. The minimum salary for the Data Analytics Program Manager position is $120,000 annually [or $57.69 per hour] and the maximum salary for the Data Analytics Program Manager position is $130,000 annually [or $62.50 per hour]. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. ## Description A large e-commerce and logistics client is looking for adata-first program operator to own the analytics backbone of a fast-scalingenergy and power planning function. This person manages large, complex datasetsacross hundreds to thousands of active sites in various stages of planning, duediligence, capital approval, and construction -- translating raw data intodecisions and building the tracking infrastructure the team runs on. This is not a traditional program manager role. The coreskillset is data -- querying it, modeling it, centralizing it, and making itactionable. Strong operational discipline ensures thatanalytical outputs actually drive cross-functional alignment, risk visibility,and on-time delivery across PMO, Finance, Capital Management, Pre-Construction,and Construction stakeholders. What You'll Do * Own and maintain centralized trackers spanning the full site lifecycle -- from demand forecasting and site selection through power due diligence, capital approval, utility engagement, and construction delivery -- across a portfolio of hundreds to thousands of locations simultaneously * Build and manage data models that integrate inputs from multiple internal and third-party sources into a single, reliable source of truth for portfolio health, risk, cost, and timeline status * Design and stand up risk tracking frameworks that embed site-level due diligence outputs directly into downstream PMO and capital workflows, closing handoff gaps between site selection and delivery teams * Produce executive-level reporting and dashboards that surface portfolio risk, cost variance, milestone status, and coverage gaps in real time * Identify data gaps, ownership ambiguities, and process breakdowns across stakeholder groups and build the mechanisms to fix them -- trackers, playbooks, operating rhythms, and escalation frameworks * Partner with cross-functional teams to ensure utility infrastructure and interconnect costs flow accurately into capital approval budgets * Drive automation opportunities across high-frequency data workflows and define requirements for tooling improvements