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Temporary Amazon Data Analyst Jobs in Texas (NOW HIRING)

Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework. What you will ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

About the team The Decision Intelligence team is part of the OTS Data ANCHOR organization, Amazon's data, analytics, and intelligent automation engine for global IT operations. We build and deploy AI ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

About the team The Decision Intelligence team is part of the OTS Data ANCHOR organization, Amazon's data, analytics, and intelligent automation engine for global IT operations. We build and deploy AI ...

... temporary and permanent talent. Visit us at -a-job/ to learn more and view our open positions ... Data Analyst I Location: On-site at Fort Worth, TX Duration: 3 Months (Initial contract with a high ...

... Amazon Web Services (AWS), Teradata, BigQuery, Python, and Oracle; and developing data workflows ... DE analyzing and profiling large-scale data sets comprising 300 to 450M data features to detect ...

Work form House Data Access. Our experts are actually seeking individuals who are actually inspired ... Any person searching for part time, temporary work at home job is welcome to apply. No previous ...

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Temporary Amazon Data Analyst information

What is the difference between Temporary Amazon Data Analyst vs Temporary Data Scientist?

AspectTemporary Amazon Data AnalystTemporary Data Scientist
Required CredentialsBachelor's in Data Analytics, Business, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentAmazon offices, warehouses, or remoteTech companies, research labs, or remote
Employer & Industry UsageAmazon retail, logistics, and tech sectorsVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

The main difference between a Temporary Amazon Data Analyst and a Temporary Data Scientist lies in their focus and skill set. Data Analysts primarily interpret data and generate reports, while Data Scientists develop predictive models and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise. The choice depends on the project needs and required expertise.

What are the most commonly searched types of Amazon Data Analyst jobs in Texas? The most popular types of Amazon Data Analyst jobs in Texas are:
What are popular job titles related to Temporary Amazon Data Analyst jobs in Texas? For Temporary Amazon Data Analyst jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Temporary Amazon Data Analyst jobs? Cities in Texas with the most Temporary Amazon Data Analyst job openings:
Infographic showing various Temporary Amazon Data Analyst job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Full-time

Re-posted 18 days ago


Job description

Brio Real Estate is a Blackstone Real Estate portfolio company focused on real estate credit. Brio supports Blackstone's Real Estate Debt Strategies ("BREDS") investments across the globe. The company provides support across key functions, including corporate, transaction, and management services. The critical infrastructure and capabilities Brio provides for BREDS allows for effective support in the management of its global portfolio.

Today, BREDS has more than $76 billion of investor capital across high yield / opportunistic real estate credit funds, a publicly traded Mortgage REIT, and liquid securities strategies. BREDS is part of Blackstone Real Estate, the largest owner of commercial real estate globally, owning and operating assets across every major geography and sector.

Role Purpose:

At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day-to-day operations. You will partner with cross-functional stakeholders, including the trading desk, to understand data needs, build queries, and deliver actionable insights. Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework.

What you will do:

  • Play a central role in our data ecosystem. You'll serve as the critical link connecting technical and business functions, supporting essential workflows that power our daily operations. You'll be instrumental in onboarding and integrating every new dataset that enters our analytical framework.

  • Work directly with cross-functional teams. You'll collaborate with trading desk to understand their data needs and build queries to support their analysis

  • Work with industry-standard technology. You'll leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions

What you should have:

  • An experienced data analyst with technical depth. You have 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis. You are able to translate business requirements into efficient data solutions while accounting for performance and scalability.

  • Passionate about loan-level data and/or structured products. You have 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding the complexities of amortization, prepayment, default, and loss severity. Your typical day-to-day involves wrangling messy loan tape data into a usable state, building complex analytics on asset performance, and creating reports on portfolio metrics. You're comfortable evaluating credit performance and communicating insights to both technical and business audiences.

  • Excited about modern data platforms. You work frequently with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and have experience optimizing queries and data models for performance at scale.

  • A first-rate collaborator and communicator. You're comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables. You thrive on understanding client needs and delivering insights that drive decision-making.

EEO Statement

Brio Real Estate is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com