Decision Support Analyst

We’re looking for a highly skilled data and analytics professional who can turn complex data into clear business insights and strategic recommendations. This role partners closely with cross-functional teams to solve high-impact business problems and guide decision-making at a senior level. What You’ll Do Partner with business leaders and cross-functional teams to understand complex challenges and define analytical approaches Use advanced data analysis and modeling techniques to solve large-scale business problems Translate data insights into clear, actionable recommendations that influence strategy and decision-making Create compelling presentations and visualizations to communicate findings to both technical and non-technical audiences Gather, clean, and integrate data from multiple sources to ensure high-quality analysis Perform exploratory data analysis (EDA) to uncover trends, risks, and opportunities Document methodologies, assumptions, and validation processes for transparency and compliance Support implementation of recommendations and help operationalize solutions Stay current with emerging tools and technologies in data science and analytics Identify opportunities to improve data processes, create new datasets, and generate deeper insights Ensure all work aligns with risk management and compliance standards Required in resume: • Translates business intelligence into actionable decisions. • Leads real estate portfolio strategy for corporate real estate, including: • Occupancy planning • Portfolio utilization • Space optimization decisions Role: Decision Scientist (New Practice) • Prior experience focusing on corporate real estate analytics, including: • Real estate market analysis • Property disposition decisions • Space utilization optimization • Goal of the role: build a new practice that delivers predictive insights to optimize real estate decisions. • This is a newly initiated function this year. Core Responsibilities • Work closely with Data Scientists and Business Intelligence teams. • Aggregate and interpret data to generate predictive insights. • Partner with: • Strategy & Planning Directors • Occupancy Planning teams • Support decision-making for real estate portfolio actions. Work Environment & Structure • Location: San Antonio, TX • On-site requirement: 4 days per week in office • Interview process: 2 rounds • Strong collaboration with technical and business stakeholders. Example Business Problem • A lease/building is coming up for renewal with a 10-year renewal option (yes/no decision). • The role supports answering: • Should we renew? • What action should we take based on data and forecasts? Role Expectations • Heavy emphasis on data-driven decision-making. • Must communicate findings clearly to both: • Technical teams (data scientists, BI) • Business stakeholders (strategy, real estate leadership) • Acts as a bridge: turning complex data into consumable insights and recommendations. Initial Work (First 6 Months) • Contribute to 3 high-impact projects immediately. • Focus on multiple upcoming lease decisions. • Expected to add measurable value quickly. Growth & Future Potential • Role may convert to full-time employment (FTE). • Seen as a strategic capability investment with growth potential. • Part of a new, expanding analytics practice in corporate real estate. Required Real Estate Knowledge • Understanding of: • Commercial real estate fundamentals • Lease structures and terms • Financial components of real estate decisions Must-Haves • Strong technical ability: • Working with complex datasets • Converting data into predictive models and forward-looking insights • Understanding of corporate structure and how large organizations make decisions