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Day Amazon Data Analyst Jobs (NOW HIRING)

... day and drives you to deliver the best results for yourself as well as your clients. As a Data ... Experience with Amazon Web Services is a plus * Programming experience, Python in particular, is a ...

Data Analyst

New York, NY · On-site

$69K - $85K/yr

... day and drives you to deliver the best results for yourself as well as your clients. As a Data ... Experience with Amazon Web Services is a plus * Programming experience, Python in particular, is a ...

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

Develop scalable solutions that utilize the highest standards of analytical rigor and data integrity. Learn and understand a broad range of Amazon's data resources and know how, when, and which to ...

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine ...

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you ... Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine ...

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Day Amazon Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do day amazon data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for day 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 a Day Amazon Data Analyst?

Day Amazon Data Analysts are professionals who specialize in analyzing and interpreting data during daytime business hours at Amazon. They use various data analytics tools and techniques to identify trends, monitor business performance, and generate actionable insights that support decision-making across different departments. Their responsibilities may include creating reports, visualizing data, and collaborating with teams to optimize operations, improve customer experience, and drive business growth. These analysts typically have strong skills in statistics, data management, and business intelligence software.

What skills and qualifications are needed to thrive as a Day Amazon Data Analyst?

To thrive as a Day Amazon Data Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with SQL, Excel, Python or R, and Amazon's proprietary data systems like Redshift or QuickSight is typically required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to stakeholders. These skills ensure accurate analysis, drive data-informed decisions, and contribute to Amazon's operational and business success.

What challenges might a Day Amazon Data Analyst face, and how can they address them?

A Day Amazon Data Analyst often encounters challenges such as handling large volumes of complex data, ensuring data accuracy, and meeting tight deadlines for reporting and analysis. To address these, it's important to develop strong data validation processes, maintain clear communication with stakeholders, and continuously improve technical skills in tools like SQL and Excel. Collaborating closely with cross-functional teams helps to clarify data requirements and prioritize projects effectively, making it easier to deliver actionable insights that drive business decisions.

What is the difference between Day Amazon Data Analyst vs Day Amazon Business Analyst?

AspectDay Amazon Data AnalystDay Amazon Business Analyst
Primary FocusData analysis, reporting, and insights generationBusiness process improvement, strategy, and decision support
Required SkillsData tools (Excel, SQL, Tableau), analytical skillsBusiness acumen, communication, problem-solving
Work EnvironmentData-driven teams within Amazon's operationsCross-functional teams focusing on business strategies
CertificationsData analysis certifications (e.g., Microsoft, Tableau)Business or management certifications (e.g., PMP, MBA)

While both roles support Amazon's operations, the Day Amazon Data Analyst primarily focuses on analyzing data to inform decisions, whereas the Day Amazon Business Analyst concentrates on improving business processes and strategies. The roles often overlap but differ in their core responsibilities and skill sets.

How do I join Amazon as a Day Amazon Data Analyst?

To join Amazon as a Data Analyst, you should review current job openings on Amazon's careers website, ensure you meet the required qualifications such as proficiency in SQL, Excel, and data visualization tools, and submit an application with your resume. The hiring process typically involves multiple interviews and assessments to evaluate technical skills and problem-solving ability.

What is the day-to-day job of a Day Amazon Data Analyst?

A Day Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets related to Amazon's operations, sales, and customer behavior. They use tools like Excel, SQL, and data visualization software to generate reports, identify trends, and support decision-making processes. Their daily tasks often include monitoring key performance indicators, troubleshooting data issues, and collaborating with teams to improve business strategies.

What cities are hiring for Day Amazon Data Analyst jobs?

Cities with the most Day Amazon Data Analyst job openings:

What are the most commonly searched types of Amazon Data Analyst jobs?

The most popular types of Amazon Data Analyst jobs are:

What states have the most Day Amazon Data Analyst jobs?

States with the most job openings for Day Amazon Data Analyst jobs include:

Data Analyst

Good Apple

New York, NY • On-site

Full-time

Re-posted 5 days ago


Job description

Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner.
As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients.
Key Responsibilities:
  • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows
  • Democratize data and insights through data integration and the use of visualization tools
  • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure
  • Turn business requirements into metrics and implement tracking solutions to measure those metrics
  • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization
  • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients
  • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet
  • Create clean, effective, and actionable presentations for clients and internal teams
  • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams
  • Lead and contribute to processes (technical or business) improvements for reporting and analysis
  • Diligently see solutions through to the end and be meticulous on QA

Desired Skills/Qualifications:
  • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience
  • 0-2 years of marketing or analytics experience
  • Creative problem-solving skills and clear communication of results to a non-technical audience
  • Excellent communication skills to both internal teams and clients - presenting to clients is an expectation
  • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture
  • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku)
  • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus
  • Meticulous attention to detail
  • Background in a logic-based field or experience in a logic-focused role is ideal
  • Experience with Amazon Web Services is a plus
  • Programming experience, Python in particular, is a plus