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Amazon Data Analyst Jobs in Forney, TX (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 ...

You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other ... API Payload Analysis: You will act as the first line of defense for data transmission errors. If a ...

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Job Summary : Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

... analysis associated with equipment failures. -Be a leader within the group as well as within internal and external teams that support the data center. About the team **Why AWS** Amazon Web Services ...

... analysis associated with equipment failures. -Be a leader within the group as well as within internal and external teams that support the data center. About the team **Why AWS** Amazon Web Services ...

... analysis associated with equipment failures. -Be a leader within the group as well as within internal and external teams that support the data center. About the team **Why AWS** Amazon Web Services ...

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Amazon Data Analyst information

See Forney, TX salary details

$30.6K

$74.4K

$122.5K

How much do amazon data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon data analyst in Forney, TX is $74,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How to get a job in Amazon as a data analyst?

To become a data analyst at Amazon, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Relevant skills include proficiency in SQL, Python, or R, and experience with data visualization tools like Tableau. Gaining experience through internships or certifications can improve chances, and applying through Amazon's careers website or networking can help secure an interview.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong communication skills to clearly present data insights, problem-solving abilities to interpret complex data, and adaptability to work with evolving tools and datasets. These skills are essential for collaborating with teams and making data-driven decisions in a fast-paced environment.
What cities near Forney, TX are hiring for Amazon Data Analyst jobs? Cities near Forney, TX with the most Amazon Data Analyst job openings:
Infographic showing various Amazon Data Analyst job openings in Forney, TX as of August 2026, with employment types broken down into 78% Full Time, 4% Part Time, and 18% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $74,447 per year, or $35.8 per hour.

Full-time

Re-posted 23 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