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# Data Analytics Program Mgr - Business Intelligence

- **Company:** CBRE Group
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $119,995.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Database Queries, Python (Programming Language), Raw Data, Power BI, Tableau (Software), Information Technology, Data Analytics
- **Published:** November 8, 2026
- **Apply:** https://www.atlantacareerpath.com/job.asp?id=3505216339&tx=FK6966FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

## 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