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Amazon Data Analyst Jobs in Minnesota (NOW HIRING)

Boston Scientific

Marketing Data Analyst III

Maple Grove, MN · Hybrid

$88K - $110K/yr

Strong experience with Tableau, PowerBI, Snowflake, Amazon S3, Alteryx * Proficiency in SQL and Python for data analysis * Experience with Commercial Data Lakes (Snowflake) * Proven experience ...

Boston Scientific

Marketing Data Analyst III

Maple Grove, MN · Hybrid

$88K - $110K/yr

Strong experience with Tableau, PowerBI, Snowflake, Amazon S3, Alteryx * Proficiency in SQL and Python for data analysis * Experience with Commercial Data Lakes (Snowflake) * Proven experience ...

Boston Scientific

Marketing Data Analyst III

Maple Grove, MN · On-site

$88K - $110K/yr

Strong experience with Tableau, PowerBI, Snowflake, Amazon S3, Alteryx * Proficiency in SQL and Python for data analysis * Experience with Commercial Data Lakes (Snowflake) * Proven experience ...

Amazon

EHS Specialist

Brooklyn Park, MN · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... a team, ability to analyze accident data, new processes, and machinery for potential safety ...

Amazon

EHS Specialist

Shakopee, MN · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... a team, ability to analyze accident data, new processes, and machinery for potential safety ...

Pwc

Data Engineer - Manager

Minneapolis, MN

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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All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Minnesota

Amazon Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do amazon data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for amazon data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

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

The most popular types of Amazon Data Analyst jobs in Minnesota are:

What are popular job titles related to Amazon Data Analyst jobs in Minnesota?

For Amazon Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Amazon Data Analyst jobs in Minnesota look for?

The top searched job categories for Amazon Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Amazon Data Analyst jobs?

Cities in Minnesota with the most Amazon Data Analyst job openings:

Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst with Capital Market

PSRTEK LLC

Saint Paul, MN

Full-time

Re-posted 22 days ago

Job description

Job Description

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing reports, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Generate reconciliation reports that compare source systems

Requirements

  • Proven working experience as a data analyst or business  Data analyst
  • Experience working in Data initiatives using new-age Data & analytics paradigms and concepts E.G. Big-Data Analytics,Data Lake/Hub,Data Virtualization,Master Dtaa mgmt,AI/ML/RPA
  • Solid exposure/experience working in cloud Data environments (leading cloud providers like Amazon~AWS,Azure,GCP)
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages, databases (SQL etc), programming (XML, Javascript, Python)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (R,Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS/MS in Mathematics, Economics, Computer Science, Information Management or Statistics
Additional Information

All your information will be kept confidential according to EEO guidelines.

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