Accion Labs

Datawarehouse Business Analyst - San Antonio, TX - 12+ Months Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Datawarehouse Business Analyst in San Antonio, TX, for a 12+ month contract with a pay rate of "unknown." Requires 7+ years of experience in data warehousing, strong SQL skills, and real estate domain expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Antonio, Texas Metropolitan Area
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🧠 - Skills detailed
#Documentation #Data Warehouse #Data Architecture #Snowflake #UAT (User Acceptance Testing) #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #BI (Business Intelligence) #Microsoft Power BI #SQL Queries #Business Analysis #SharePoint #Data Profiling #Data Engineering #ADF (Azure Data Factory) #Data Modeling #Jira #SQL (Structured Query Language) #Data Quality #Python #Looker #PySpark #Cloud
Role description
Real estate domain is highly preferred. Job Title: Business Analyst – Data Warehousing & BI Location: San Antonio (Onsite) Experience: 7+years Communication: Excellent Duration: 1 year, extendable Role Objective Serve as the bridge between business stakeholders and data engineering teams, translating business needs into technical specifications for data models, ETL pipelines, and BI solutions to deliver a trusted single source of truth. Key Responsibilities Requirements Engineering: Lead discovery sessions; produce FRDs and mapping documents. Source-to-Target Mapping: Define data elements, business rules, and transformations. Data Profiling: Use SQL, Pyspark, Python to assess data quality, identify anomalies, and validate integrity. Data Modeling: Partner with data architects on star/snowflake schemas and dimensional models. UAT Ownership: Define test cases, execute UAT, and validate outputs against business requirements. Stakeholder Management: Manage backlog and prioritize data initiatives by ROI and impact. Technical Skills SQL: Queries (joins, CTEs, window functions). Data Warehousing: ETL/ELT, ADF. BI Tools: Power BI, Looker, Documentation: Jira, Confluence, data dictionaries, SharePoint Online. Preferred Qualifications 5–7 years in Data Warehousing or Analytics. Strong communicator able to explain technical concepts to executives. Experience with cloud data warehouses.