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Amazon Data Analyst Jobs (NOW HIRING)

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key ... Design and build impactful visualizations and dashboards using tools like Power BI, Amazon ...

Cognizant

SR Data Analyst with Insurance Domain

$88K - $111.10K/yr

Responsibilities : • Design end to end cloud data architectures that leverage Amazon RDS Amazon S three AWS EC two and AWS EMR to deliver scalable analytics platforms that align with enterprise ...

New

Amazon

Data Scientist II, Amazon Business

Seattle, WA · On-site

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

Omni Inclusive

Financial Data Analyst

Reston, VA

Major technologies involved include S3, AWS Glue, Step Functions, Lambda Functions, Amazon Athena ... SQL for data prep & analysis. • Collaborate with product managers and other engineers to ...

Amazon

Sr. BIE, Amazon Leo B2B

Bellevue, WA · On-site

$97.10K - $122.50K/yr

... Analyze large data sets to identify patterns and drive strategic shifts in business practices ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Jobsbridge

Cloud/Big Data Analyst

Merrifield, VA

... Amazon S3 or similar Cloud certifications Experience in Perl, Python or Tcl/Tk scripting languages Any experience with Geospatial analysis Qualifications JSON,JavaScript,Perl, Python Additional ...

Amazon

Business Analyst II - AMZ9442618

Irving, TX · On-site

$74.30K - $130.10K/yr

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics ...

Amazon

Business Intel Engineer III - AMZ26186.1

Herndon, VA · On-site

$170.87K - $176.30K/yr

... large scale data analyses, model development, model validation, and model implementation. (40 hours / week, 8:00am-5:00pm, Salary Range $170872 - $176300) Amazon.com is an Equal Opportunity ...

Amazon

Business Intel Engineer III - AMZ9673847

Houston, TX · On-site

$133.08K - $176.30K/yr

AMAZON DATA SERVICES, INC. Offered Position: Business Intel Engineer III Job Location: Houston ... Perform statistical analysis, including clustering, cross-session and panel data regression using R ...

Amazon

Business Analyst II - AMZ10118786

Seattle, WA · On-site

$94.40K - $130.10K/yr

Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics ...

Surge InfoTech LLC

Data Anlayst

Alexandria, VA · On-site

Summary The Data Analyst will support a large-scale modernization effort to migrate legacy Sybase databases to Amazon RDS for PostgreSQL. This role focuses on understanding existing legacy data ...

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How much do amazon data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for amazon data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an Amazon Data Analyst job?

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 the key skills and qualifications needed to thrive in the Amazon Data Analyst position, and why are they important?

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 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.

What does a data analyst do at Amazon?

A data analyst at Amazon collects, processes, and analyzes large datasets to identify trends, support decision-making, and improve business operations. They often use tools like SQL, Excel, and data visualization software, and may work closely with teams across logistics, marketing, and product development to optimize processes and strategies.
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Amazon Data Analyst jobs near you
ENTERPRISE DATA ANALYST

ENTERPRISE DATA ANALYST

SmartIPlace

Juno Beach, FL • On-site

$50 - $55/hr

Contractor

Posted 16 days ago

Job description

Interview Process: 1st round virtual

Since this is an enterprise role reporting to corporate, 2nd round of Interview is possible to be onsite !!! 

Do not submit candidates who are not willing for ONSITE INTERVIEW if requested.

MUST HAVE GREAT COMMUNICATION SKILLS

  Location: Must reside in Florida (exact address required)

  LinkedIn Profile: Mandatory

BE CAREFUL OF SCREENING AND SUBMITTING CANDIDATES. 

CHECK THEIR RESUMES. MAKE SURE THAT THEY DIDN'T JUST DIRECTLY COPIED THE JOB DESCRIPTION.

  •  

RESUMES THAT ARE DIRECTLY MIRORRING THE JD WILL BE AUTOMATICALLY DISQUALIFIED.

Must have a LinkedIn. Must have a FLORIDA ADDRESS

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
  • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
  • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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