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Amazon Data Analyst Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, Amazon QuickSight, or similar platforms. * Solid understanding of Google Analytics, mobile measurement ...

New

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ... Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as ...

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All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Missouri

Amazon Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do amazon data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for amazon data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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 are the most commonly searched types of Amazon Data Analyst jobs in Missouri? The most popular types of Amazon Data Analyst jobs in Missouri are:
What are popular job titles related to Amazon Data Analyst jobs in Missouri? For Amazon Data Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Amazon Data Analyst jobs in Missouri look for? The top searched job categories for Amazon Data Analyst jobs in Missouri are:
What cities in Missouri are hiring for Amazon Data Analyst jobs? Cities in Missouri with the most Amazon Data Analyst job openings:
Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Missouri as of July 2026, with employment types broken down into 74% Full Time, 10% Part Time, and 16% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Senior/Lead Data Analyst - Marketing

Jobgether

Remote

$66K - $83K/yr

Full-time

Posted 2 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Lead Data Analyst - Marketing based in Netherlands.

Take on a strategic analytics role where data drives marketing performance and business transformation across multiple markets. As a Senior/Lead Data Analyst, you will work at the intersection of marketing, business strategy, and data engineering, delivering insights that shape decision-making and support large-scale integration initiatives. Collaborating with cross-functional teams, you will build scalable reporting solutions, optimize marketing analytics, and help harmonize data across diverse business environments. This position offers the opportunity to influence executive-level decisions while leveraging modern analytics platforms, cloud technologies, and AI-powered workflows. Working in a fully remote, international environment, you will contribute to high-impact projects while helping advance data-driven marketing excellence.

Accountabilities
  • Drive marketing analytics initiatives by delivering actionable insights that improve campaign performance, user acquisition, and overall marketing efficiency.
  • Support business integration and M&A projects by assessing marketing data ecosystems, consolidating reporting structures, aligning KPIs, and ensuring smooth data integration across organizations.
  • Design, develop, and maintain scalable data models, ELT pipelines, and marketing datasets within modern cloud data platforms.
  • Build intuitive dashboards and reporting solutions that provide clear visibility into marketing performance and business outcomes.
  • Partner closely with marketing, product, engineering, and analytics teams to translate business challenges into scalable analytical solutions and actionable recommendations.
  • Lead cross-functional analytics projects from planning through delivery, managing stakeholder communication, timelines, and project risks.
  • Utilize AI tools and automation to improve data preparation, analysis, reporting, and insight generation while continuously enhancing analytical workflows.
Requirements
  • 5+ years of experience in marketing analytics, preferably within digital businesses, online marketplaces, or other data-driven environments.
  • Proven experience supporting complex data integration, organizational transformation, or mergers and acquisitions involving KPI alignment, reporting consolidation, and stakeholder collaboration.
  • Strong SQL expertise and hands-on experience building ELT pipelines using tools such as Airflow, dbt, or similar technologies.
  • Experience working with cloud-based data platforms including BigQuery, Snowflake, Redshift, or equivalent solutions.
  • Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, Amazon QuickSight, or similar platforms.
  • Solid understanding of Google Analytics, mobile measurement platforms, digital advertising ecosystems, and marketing attribution.
  • Demonstrated ability to lead cross-functional analytics initiatives and communicate effectively with technical and business stakeholders.
  • Interest in applying AI tools to enhance analytics workflows and improve the quality and efficiency of data-driven decision-making.
  • Excellent written and verbal English communication skills.
  • Availability to collaborate with international teams during Toronto (EST/EDT) working hours.
  • Experience with attribution models, Google Search Console, Google Tag Manager, Amazon QuickSight, or mobile measurement platforms is considered an advantage.
Benefits
  • Fully remote work environment.
  • Opportunity to work on large-scale, high-impact marketing analytics projects.
  • International collaboration with cross-functional and distributed teams.
  • Exposure to modern cloud data platforms, AI-powered analytics, and advanced marketing technologies.
  • Career growth opportunities through leadership responsibilities and strategic initiatives.
  • Dynamic, collaborative environment focused on innovation, continuous learning, and data-driven decision-making.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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