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Remote Amazon Data Analyst Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

  • PTO

... remote-first team. Accountabilities * Analyze player behavior across the complete lifecycle ... Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.

Jobgether

$66K - $83K/yr

Working in a fully remote, international environment, you will contribute to high-impact projects ... Experience with attribution models, Google Search Console, Google Tag Manager, Amazon QuickSight ...

Parsons

Data Analyst - GEOINT Technical SME

Saint Louis, MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst - Mid, applies their technical and analytical capabilities to support key business ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Jobgether

$66K - $83K/yr

  • Medical

  • PTO

This is a fully remote, collaborative environment where autonomy, initiative, and continuous ... Analyze data from tracking systems and other sources to understand user behavior across the full ...

Jobgether

Analyze Amazon performance data, metrics, and marketplace trends to identify opportunities ... Fully remote, full-time position. * Opportunity to take ownership of brand growth across the Amazon ...

Jobgether

$250K - $350K/yr

The environment is fully remote, fast-paced, entrepreneurial, and highly performance-oriented, with ... Analyze account performance, customer behavior, marketplace data, and financial metrics to identify ...

New

Jobgether

$88K - $106K/yr

... fully remote environment. If you enjoy building resilient data platforms and driving cloud ... Excellent analytical, troubleshooting, communication, and leadership skills with the ability to ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... You will design, develop, and maintain scalable data solutions that support reliable, analytics ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

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All JobsAmazon Data Analyst JobsRemote Amazon Data Analyst JobsRemote Amazon Data Analyst Jobs in Missouri

Remote Amazon Data Analyst information

What does a remote Amazon data analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

What are the key skills and qualifications needed to thrive as a remote Amazon data analyst?

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.

What are some common challenges faced by remote Amazon data analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

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 Remote Amazon Data Analyst jobs in Missouri?

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

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

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

What cities in Missouri are hiring for Remote Amazon Data Analyst jobs?

Cities in Missouri with the most Remote Amazon Data Analyst job openings:

Remote Amazon Data Analyst jobs near you
Infographic showing various Remote Amazon Data Analyst job openings in Missouri as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% Remote job distribution.

Senior Games Data Analyst

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

PTO

Posted 8 days ago

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 Games Data Analyst based in Netherlands.

This is a senior analytics role focused on turning complex player and product data into insights that improve engagement, retention, monetization, and overall player experience.
You will work closely with Product, Game Operations, Marketing, CRM, Engineering, and other cross-functional teams to influence product and business strategy.
The role combines advanced analytics, experimentation, statistical analysis, and business intelligence across the full player lifecycle.
You will lead analytical projects, evaluate game features and campaigns, and establish reliable measurement frameworks for products and player segments.
Your work will help identify growth opportunities, uncover risks, explain KPI changes, and guide data-informed decisions.
You will also contribute to stronger data quality, tracking, analytical standards, and reporting practices across the organization.
The environment is fast-paced and international, offering significant ownership and flexibility within a remote-first team.

Accountabilities
  • Analyze player behavior across the complete lifecycle, including acquisition, onboarding, engagement, retention, monetization, churn, and reactivation.
  • Identify opportunities and risks through player segmentation, funnel analysis, cohort analysis, retention analysis, and behavioral pattern analysis.
  • Design, execute, and evaluate A/B tests and other experiments, including hypothesis development, sample-size estimation, metric selection, statistical testing, and interpretation of results.
  • Measure the impact and performance of game features, promotions, events, bonuses, and marketing campaigns.
  • Define, monitor, and maintain key product and gaming metrics across games and player segments.
  • Build dashboards, recurring reports, and analytical tools that enable stakeholders to monitor performance and make timely decisions.
  • Investigate significant or unexpected changes in KPIs, determine root causes, and assess their business impact.
  • Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
  • Partner with Product Managers and game teams to establish analytical requirements and measurement approaches before new features or initiatives are launched.
  • Collaborate with Data Engineers to improve data quality, tracking coverage, analytical datasets, and underlying data models.
  • Promote consistent analytical methodologies and standards across teams.
  • Encourage data-informed decision-making by communicating insights effectively and connecting analysis to business outcomes.
Requirements
  • 5+ years of professional experience in data analytics, product analytics, business intelligence, or a related analytical discipline.
  • At least 3 years of experience in gaming, online entertainment, betting, financial quantitative research, or another high-volume digital product environment.
  • Advanced SQL skills and demonstrated experience working with large-scale datasets.
  • Strong understanding of product and gaming metrics, including DAU/MAU, retention, churn, conversion, ARPU, ARPPU, payer rate, LTV, and player value.
  • Solid knowledge of statistics, hypothesis testing, experimental design, and A/B testing methodologies.
  • Experience using Python or R for data analysis, statistical modeling, or automation.
  • Hands-on experience with BI and data visualization tools such as Tableau, Power BI, Looker, or Apache Superset.
  • Familiarity with cloud data warehouses such as Amazon Redshift, Snowflake, BigQuery, or Databricks.
  • Experience designing event tracking and validating data quality.
  • Strong analytical and critical-thinking skills, with the ability to turn ambiguous business questions into structured analysis and actionable recommendations.
  • Excellent communication and stakeholder-management skills, with the ability to explain analytical concepts clearly to diverse audiences.
  • Ability to manage multiple analytical projects independently while working effectively in a fast-paced environment.
  • Experience publishing statistics-related research in an SCI-indexed journal is a plus.
  • Strong attention to detail and a practical, business-oriented approach to data analysis.
Benefits
  • Remote-first working environment.
  • Competitive salary with individual performance-based bonuses paid quarterly.
  • 28 days of paid annual leave.
  • Core working hours from 10:00 AM to 3:00 PM in your local time zone, with flexibility outside those hours.
  • Referral bonuses and flash bonuses.
  • Top-of-the-line professional equipment.
  • Annual company retreats offering opportunities for collaboration and internal networking.
  • Opportunity to work on large-scale gaming and digital product analytics challenges.
  • International, cross-functional environment with significant ownership and autonomy.
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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