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Remote Political Science Data Analytics Jobs in Missouri

Jobgether

$66K - $83K/yr

Knowledge of Google Analytics, dbt, and basic Git is a plus. * Experience working with tracking platforms, affiliate systems, or partner data sources is beneficial. Benefits * Fully remote working ...

New

Jobgether

... data analysis, visualization, and scientific workflows supporting life science and healthcare ... Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.

Cigna

Data Science Advisor - Hybrid

Saint Louis, MO · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

EquipmentShare

Data Analyst III

Columbia, MO · Remote

We're hiring a Data Analyst III to support our Corporate Headquarters in Columbia, MO and we're ... This position is fully remote. Primary Responsibilities * Apply analytics and/or operations ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

UMB Financial

Sr. Fraud BI Analyst

Kansas City, MO · On-site +1

$98K - $144K/yr

However, the remote location must be within the US. How you will spend your time: * Design and ... Bachelor's Degree in Data Analytics, Data Science or similar field of study OR equivalent ...

Varsity Tutors

ACT Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

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All JobsPolitical Science Data Analytics JobsRemote Political Science Data Analytics JobsRemote Political Science Data Analytics Jobs in Missouri

Remote Political Science Data Analytics information

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are the most commonly searched types of Political Science Data Analytics jobs in Missouri? The most popular types of Political Science Data Analytics jobs in Missouri are:
What are popular job titles related to Remote Political Science Data Analytics jobs in Missouri? For Remote Political Science Data Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Political Science Data Analytics jobs in Missouri look for? The top searched job categories for Remote Political Science Data Analytics jobs in Missouri are:
What cities in Missouri are hiring for Remote Political Science Data Analytics jobs? Cities in Missouri with the most Remote Political Science Data Analytics job openings:
Remote Political Science Data Analytics jobs near you

Middle Marketing Data Analyst

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

Medical, PTO

Posted 3 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 Middle Marketing Data Analyst based in Netherlands.

As a Middle Marketing Data Analyst, you'll turn marketing and tracking data into actionable insights that improve customer acquisition, conversion, and retention.
You'll analyze user behavior across the entire marketing funnel, from visits and clicks through registrations and deposits.
The role combines hands-on data analysis with dashboard development, experimentation, and continuous optimization of marketing performance.
You'll work closely with data engineers, web analysts, and business teams to improve data quality, reporting, and marketing data pipelines.
Your insights will help teams identify performance issues, uncover optimization opportunities, and make better data-driven decisions.
This is a fully remote, collaborative environment where autonomy, initiative, and continuous learning are highly valued.
You'll have the opportunity to grow your analytical expertise while working with modern data and visualization tools on international projects.

Accountabilities
  • Analyze data from tracking systems and other sources to understand user behavior across the full marketing funnel, including visits, clicks, registrations, and deposits.
  • Investigate marketing performance data on request, identify meaningful trends and anomalies, and translate findings into clear business recommendations.
  • Develop and maintain dashboards and reports that provide actionable visibility into funnel performance and help teams quickly identify issues and optimization opportunities.
  • Support business teams in planning, launching, and analyzing experiments designed to improve customer acquisition, engagement, and retention.
  • Apply statistical concepts and analytical methods to evaluate experiment results and support data-driven decision-making.
  • Collaborate closely with data engineers and web analysts to improve the collection, processing, and quality of marketing data from multiple sources.
  • Contribute to the optimization and continuous improvement of marketing data pipelines and analytical workflows.
  • Help ensure that reporting and analytical outputs are accurate, reliable, and easy for business stakeholders to understand.
  • Maintain clear, structured, and up-to-date documentation for processes, datasets, dashboards, and analytical work within the area of responsibility.
  • Identify opportunities to automate repetitive analytical tasks and improve the efficiency of marketing reporting and analysis.
Requirements
  • 2+ years of professional experience in data analytics or a related analytical field.
  • Strong practical knowledge of SQL for extracting, processing, transforming, and analyzing data.
  • Hands-on experience with Tableau and the ability to create clear, informative, and business-oriented data visualizations.
  • Solid understanding of statistics and practical experience applying statistical methods to A/B testing and experimentation.
  • Ability to analyze complex datasets, identify patterns and performance issues, and translate findings into actionable recommendations.
  • Strong attention to detail and a structured approach to analytical work and documentation.
  • Ability to collaborate effectively with data engineers, web analysts, marketing teams, and other business stakeholders.
  • Strong communication skills, with the ability to explain analytical findings clearly to both technical and non-technical audiences.
  • Self-motivated and proactive approach, with the ability to work independently while managing multiple analytical requests and priorities.
  • Comfortable working in a fast-paced environment where priorities can evolve and analytical problems may require creative solutions.
  • Experience in iGaming or another data-intensive digital industry is an advantage.
  • Knowledge of Google Analytics, dbt, and basic Git is a plus.
  • Experience working with tracking platforms, affiliate systems, or partner data sources is beneficial.
Benefits
  • Fully remote working environment with the flexibility to work from a location where you feel comfortable and productive.
  • Opportunity to work on international projects within a technology-driven and data-focused environment.
  • 20 working days of paid annual leave, plus public holidays and paid sick leave.
  • Health insurance with access to high-quality medical providers.
  • Coverage for psychological support through the Pleso platform.
  • Monthly benefits allowance that can be used toward personal interests, hobbies, sports, and other eligible activities.
  • Team-building activities, corporate events, workshops, and other opportunities to connect with colleagues.
  • Individual learning and development budget for courses and professional training.
  • Corporate English language training.
  • Access to workshops and an online learning library.
  • Structured career development opportunities, including performance reviews and mentoring programs.
  • Opportunities to take part in professional conferences and industry events.
  • A collaborative culture that values openness, initiative, teamwork, and continuous improvement.
  • An environment focused on automation and reducing unnecessary routine work so employees can dedicate more time to professional growth.
  • Low-bureaucracy culture with autonomy and freedom to take ownership of your work.
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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