Data Analytics Program Mgr - Business Intelligence

CBRE Group
Santa Fe, NM, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$119,995.0
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Big Data Database Queries Python (Programming Language) Raw Data Power BI Tableau (Software) Information Technology Data Analytics

Job description

A large e-commerce and logisticsclient is looking for a data-first program operator to own the analyticsbackbone of a fast-scaling energy and power planning function. This personmanages large, complex datasets across hundreds to thousands of active sites invarious stages of planning, due diligence, capital approval, and construction– translating raw data into decisions and building the tracking infrastructurethe team runs on.

This is not a traditionalprogram manager role. The core skillset is data – querying it, modeling it,centralizing it, and making it actionable. Strong operational disciplineensures that analytical outputs actually drive cross-functional alignment, riskvisibility, and on-time delivery across PMO, Finance, Capital Management,Pre-Construction, and Construction stakeholders.

What You’llDo

  • Own and maintain centralized trackers spanningthe full site lifecycle – from demand forecasting and site selection throughpower due diligence, capital approval, utility engagement, and constructiondelivery – across a portfolio of hundreds to thousands of locationssimultaneously
  • Build and manage data models that integrateinputs from multiple internal and third-party sources into a single, reliablesource of truth for portfolio health, risk, cost, and timeline status
  • Design and stand up risk tracking frameworksthat embed site-level due diligence outputs directly into downstream PMO andcapital workflows, closing handoff gaps between site selection and deliveryteams
  • Produce executive-level reporting and dashboardsthat surface portfolio risk, cost variance, milestone status, and coverage gapsin real time
  • Identify data gaps, ownership ambiguities, andprocess breakdowns across stakeholder groups and build the mechanisms to fixthem – trackers, playbooks, operating rhythms, and escalation frameworks
  • Partner with cross-functional teams to ensureutility infrastructure and interconnect costs flow accurately into capitalapproval budgets
  • Drive automation opportunities acrosshigh-frequency data workflows and define requirements for tooling improvements

Requirements

  • Bachelor’sdegree or higher in Data Science, Computer Science, Analytics, Statistics,Engineering, or a related quantitative field (Master’s preferred)
  • 5+ years in a data analyst or data-heavy programmanagement role managing large, multi-variable datasets across complexportfolios
  • PMP certification or equivalent – used tostructure ambiguity, not just manage schedules
  • Advanced Excel/Sheets and hands-on BI toolexperience (Tableau, Power BI, Quicksight, or similar)
  • SQL proficiency; Python a strong plus
  • Proven ability to build centralized tracking andreporting 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 amessy 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 Mgr - Business Intelligence position is $120,000 annually [or $57.69 per hour] and the maximum salary for the Data Analytics Program Mgr - Business Intelligence position is $135,000 annually [or $64.90 per hour]. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience.

About the company

CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

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