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Internship Remote Data Analyst Jobs in Missouri (NOW HIRING)

$66K - $83K/yr

Our partner is looking for a Senior Games Data Analyst based in Netherlands. This is a senior ... Remote-first working environment. * Competitive salary with individual performance-based bonuses ...

$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 ...

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 ...

... analytical solutions This position offers the opportunity to work fully remote within the United ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

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 ...

$88K - $106K/yr

Install, configure, monitor, and troubleshoot Talend Remote Engine environments while maintaining ... Use AI-assisted tools for code generation, review, optimization, data analysis, testing, pipeline ...

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Internship Remote Data Analyst information

What is a remote data analyst internship?

A remote data analyst internship is a temporary position where interns work from a location of their choice, typically from home, to support an organization's data analysis needs. Interns in this role collect, process, and analyze data to help inform business decisions. They may use tools like Excel, SQL, or Python to organize data, create reports, and present findings. The internship provides practical experience and helps build skills that are valuable for a career in data analysis.

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

To thrive as an Internship Remote Data Analyst, you need a solid understanding of data analysis, statistics, and proficiency in tools like Excel, Python, or R, often supported by coursework in data science or related fields. Familiarity with data visualization platforms such as Tableau or Power BI and experience with SQL databases are typically expected. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and sharing insights remotely. These abilities ensure accurate analysis, clear reporting, and effective collaboration in a virtual work environment.

What types of projects can a remote data analyst intern typically expect to work on, and how is support provided when working remotely?

As a remote data analyst intern, you can expect to work on projects like cleaning and organizing datasets, conducting exploratory data analysis, creating visualizations, and assisting with building statistical models or dashboards. Since you are working remotely, communication and mentorship are often facilitated through regular virtual meetings, shared documentation, and collaboration tools such as Slack or Microsoft Teams. Supervisors and team members will typically provide guidance through scheduled check-ins and feedback sessions, ensuring you have the support needed to progress and learn. This structure helps interns develop both technical and communication skills essential for data-driven roles.

What are the most commonly searched types of Remote Data Analyst jobs in Missouri?

The most popular types of Remote Data Analyst jobs in Missouri are:

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

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

Infographic showing various Internship Remote Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Games Data Analyst

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

PTO

This job post has expired 3 days ago. Applications are no longer accepted.


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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