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Amazon Data Analytics Jobs in Houston, TX (NOW HIRING)

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

... Amazon Web Services Apache Hadoop Apache Kafka Apache Spark Big Data Computer Science Data Analysis Data Engineering Data Modeling Data Pipelines Data Warehousing Extract Transform Load (ETL) Java ...

Research, design, and develop new forecasting technologies to help Amazon leverage its data to ... Perform statistical analysis, including clustering, cross-session and panel data regression using R ...

... analysis - Developing and maintaining data pipelines, integration, and transformation solutions to support client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data ...

Amazon Channel Manager

Stafford, TX · On-site

$132K - $133K/yr

This is a dedicated Amazon-only role, not a generalist ecommerce position. The ideal candidate ... Analyze Voice of Customer data (reviews, Q&A, returns) to surface product and content improvement ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

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Showing results 1-20

Amazon Data Analytics information

See Houston, TX salary details

$20.8K

$81.1K

$170.1K

How much do amazon data analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon data analytics in Houston, TX is $81,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,160.00 and $112,913.00 per year, depending on experience, location, and employer.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

What is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, or Tableau can earn higher salaries.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.
What are popular job titles related to Amazon Data Analytics jobs in Houston, TX? For Amazon Data Analytics jobs in Houston, TX, the most frequently searched job titles are:
Infographic showing various Amazon Data Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $81,141 per year, or $39 per hour.

Market Analyst, Commercial Markets & Data Analytics

Priority Power

Houston, TX • On-site

Full-time

Posted 11 days ago


Job description

Job Type
Full-time
Description
Who We Are
Priority Power is the energy partner delivering the systems, expertise, and execution, required to power enterprise growth. Through our integrated multi-service offering spanning strategy, supply, infrastructure, and operations, we develop and operate mission critical energy solutions for organizations navigating today's complex energy landscape. From greenfield to gigawatt to grid, we make power possible at the scale and speed of ambitious growth demands - meeting the needs of an energy driven future.
Our Mission
Priority Power delivers the strategy, infrastructure, and execution that powers enterprise growth - with the speed, transparency, and accountability our clients depend on.
Our Vision
To be the most trusted and capable integrated energy partner in the United States -delivering strategy, infrastructure, and execution at the speed ambitious growth demands.
Position Summary:
The Market Analyst supports power and natural gas forward curve marking, data analytics, and customer-facing market communication, with a focus on ERCOT and PJM. This role is flexible in level, from junior analyst to a more experienced hire, depending on the candidate's background. Prior experience with ERCOT, PJM, or other ISOs is a strong plus.
The role manages data using Databricks and PostgreSQL, builds Tableau visualizations, and applies analytical methods to identify pricing trends. The analyst will also be responsible for updating customer-facing market presentations and helping to produce periodic market recaps and outlooks.
Position Responsibilities:
  • Mark and maintain forward price curves for ERCOT and PJM power products.
  • Pull, clean, and manipulate data from Databricks, PostgreSQL, and Amazon Athena/S3, and build ad hoc and permanent visualizations and dashboards in Tableau.
  • Write SQL queries and manage data pulls across multiple database environments in support of recurring and one-off analysis.
  • Maintain and analyze large Excel workbooks; perform ad hoc analysis in Excel as needed.
  • Apply analytical methods, including basic statistical analysis, to identify pricing trends across power markets.
  • Help build and deliver customer-facing market update decks; present market moves and analysis directly to customers and to internal sales teams.
  • Write and publish quarterly market recaps and outlooks covering ERCOT and PJM fundamentals.
  • Identify opportunities to improve or automate existing analytics and reporting processes and build the tools to implement them.
  • Partner with Commercial Markets leadership and internal teams to align market commentary and analysis with broader company messaging.

Requirements
  • Bachelor's degree in quantitative field (Finance, Economics, Statistics, or related), or equivalent experience.
  • Comfort working with data in Excel, with a willingness to develop skills in SQL, Python, and Tableau on the job.
  • Strong written and verbal communication skills, with the ability to present analysis clearly to non-technical audiences.
  • High attention to detail, particularly in customer-facing materials.
  • Genuine interest in power and natural gas markets, and a desire to build deep market expertise over time.

Preferred Qualifications
  • Working knowledge of ERCOT and/or PJM power market structure, natural gas fundamentals, and forward curve marking.
  • Prior experience in energy trading, risk management, or market analytics.
  • Experience producing recurring market commentary or research publications.
  • Comfort using AI tools to support drafting market summaries, building presentations, and analyzing data.
  • Proficiency in SQL, Tableau, and/or Python, including experience pulling and managing data from relational databases (PostgreSQL and/or Databricks/Athena).
  • Experience building or maintaining automated data pipelines (Python, Databricks, AWS).
  • Familiarity with ancillary services markets, 4CP, and related ERCOT-specific market mechanics.

Why Choose Priority Power?
Empowered to Make an Impact in a Values-Driven Energy Future
At Priority Power, we're more than just an energy company-we're a purpose-driven team dedicated to transforming the future of energy through meaningful work, empowered people, and enduring partnerships. We invite mission-minded professionals to grow with us in a culture defined by trust, collaboration, and real outcomes.
Values-Driven Culture
We lead with integrity, customer focus, and accountability-prioritizing ethics and purpose in every decision we make. Our culture is rooted in doing what's right for our clients, our communities, and each other.
Empowered Opportunities
Here, initiative is celebrated. You'll have the autonomy to lead, innovate, and contribute in ways that grow your career and advance our mission. We empower our employees to take ownership of their impact.
Accountability & Outcomes Orientation
Our results matter. We are a high-performance culture that rewards accountability, champions progress and celebrates milestones that move the needle for our clients and the energy industry.
Collaborative Colleagues
You'll work alongside passionate experts who are generous with knowledge and united by a shared vision. Cross-functional teamwork and open communication are at the core of how we solve big energy challenges together.
Make a Real Difference
At Priority Power, your work directly contributes to building a more resilient, efficient, and sustainable energy future. Whether optimizing large-scale power strategies or innovating in renewables, you'll be part of something bigger than yourself.
Flexible Work Environment
We respect your life outside of work. Our flexible work policies allow you to thrive personally and professionally ensuring balance, trust, and well-being for every team member.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.