Strategic Staffing Solutions

Commercial Real Estate Decision Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data & Decision Science Analyst with a 12+ month contract in San Antonio, TX, offering $75-80/hr on W2. Requires 8+ years in data analytics, strong analytical skills, and experience in commercial real estate decision-making.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date
April 29, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Antonio, TX
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🧠 - Skills detailed
#Data Wrangling #Storytelling #S3 (Amazon Simple Storage Service) #Compliance #SQL (Structured Query Language) #Statistics #Datasets #Data Science #SAS #Leadership #Trend Analysis #Data Analysis #Forecasting #Visualization #Python #Mathematics #Quality Assurance #BI (Business Intelligence) #Data Mining #Strategy
Role description
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING! This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. β€œBeware of scams. S3 never asks for money during its onboarding process.” Job Title: Senior Data & Decision Science Analyst Contract Length: 12 + Month contract Location: San Antonio, TX 78288 On Site Work Pay: 75-80 per hr on W2 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 β€’ Partner with business leaders and cross-functional teams to understand complex challenges and define analytical approaches β€’ Use advanced data analysis and modeling techniques to solve large-scale business problems β€’ Translate data insights into clear, actionable recommendations that influence strategy and decision-making β€’ Create compelling presentations and visualizations to communicate findings to both technical and non-technical audiences β€’ Gather, clean, and integrate data from multiple sources to ensure high-quality analysis β€’ Perform exploratory data analysis (EDA) to uncover trends, risks, and opportunities β€’ Document methodologies, assumptions, and validation processes for transparency and compliance β€’ Support implementation of recommendations and help operationalize solutions β€’ Stay current with emerging tools and technologies in data science and analytics β€’ Identify opportunities to improve data processes, create new datasets, and generate deeper insights β€’ Ensure all work aligns with risk management and compliance standards Key Skills & Expertise: β€’ Strong analytical thinking and problem-solving skills β€’ Ability to structure complex business problems into clear analytical frameworks β€’ Experience delivering data-driven recommendations that influence leadership decisions β€’ Advanced knowledge of data analysis, forecasting, and scenario modeling β€’ Strong storytelling skillsβ€”ability to explain complex insights clearly and concisely β€’ Experience working with cross-functional teams Preferred Experience In: β€’ Portfolio optimization and asset allocation β€’ Scenario planning and sensitivity analysis β€’ Property valuation and lease analysis (NNN, gross, modified gross) β€’ Forecasting and trend analysis β€’ Data validation and quality assurance β€’ Decision science methodologies β€’ Data visualization best practices Technical Skills β€’ Strong experience with tools such as SQL, SAS, Python, or similar analytics platforms β€’ Experience with data visualization tools (e.g., BI tools) β€’ Familiarity with modern data techniques (data wrangling, data mining, etc.) Qualifications β€’ Bachelor’s degree in a quantitative field (e.g., Economics, Finance, Statistics, Mathematics, Data Science), β€’ OR equivalent experience (4+ additional years in lieu of a degree) β€’ 8+ years of experience in data analytics or decision support β€’ OR 6+ years with an advanced degree