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Remote Golf Data Analytics Jobs in Missouri (NOW HIRING)

Jobgether

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

New

Jobgether

$66K - $83K/yr

This is a senior analytics role focused on turning complex player and product data into insights ... Remote-first working environment. * Competitive salary with individual performance-based bonuses ...

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 ...

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

Imperial PFS

Analytics Engineer I

Kansas City, MO · On-site +1

$111K - $134K/yr

Kansas City, MO (4 days in-office, 1 day remote) Experience Level: Mid-level (2-4 years) Department: Data Analytics Team About the Role An Analytics Engineer builds and maintains the foundational ...

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 ...

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 ...

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 ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

... 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 ...

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 ...

Jobgether

$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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All JobsGolf Data Analytics JobsRemote Golf Data Analytics JobsRemote Golf Data Analytics Jobs in Missouri

Remote Golf Data Analytics information

What is a remote golf data analytics professional?

A Remote Golf Data Analytics job involves analyzing data related to golf, such as player performance, course statistics, and tournament outcomes, while working from a remote location. Professionals in this role use statistical tools and software to gather insights, create reports, and help improve decision-making for golf teams, organizations, or technology platforms. Responsibilities may include data collection, model building, and interpreting trends to enhance player development or fan engagement. Working remotely allows analysts to collaborate with clients or teams worldwide, often using cloud-based systems and communication tools.

What are the key skills and qualifications needed to thrive as a remote golf data analytics professional?

To excel in Remote Golf Data Analytics, you need strong analytical skills, a background in statistics or data science, and knowledge of golf performance metrics. Familiarity with data analysis tools such as Python, R, SQL, and golf-specific software is typically required, along with certifications in data analytics or sports analytics being advantageous. Excellent communication, attention to detail, and problem-solving skills help translate complex data into actionable insights for coaches and athletes. These competencies are essential to drive data-informed decision-making and improve player performance in the competitive golf industry.

What are some common challenges faced by professionals in remote golf data analytics roles, and how can they be addressed?

Remote golf data analytics professionals often encounter challenges like accessing real-time data from various courses, ensuring data accuracy, and effectively communicating insights to non-technical stakeholders. To address these, it's important to establish clear data collection protocols, leverage secure cloud-based analytics platforms, and maintain regular virtual meetings with team members and golf professionals. Building strong communication skills and staying up-to-date with the latest analytics tools can also help overcome these challenges and contribute to successful project outcomes.

What are popular job titles related to Remote Golf Data Analytics jobs in Missouri?

For Remote Golf Data Analytics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Golf Data Analytics jobs in Missouri look for?

The top searched job categories for Remote Golf Data Analytics jobs in Missouri are:

What cities in Missouri are hiring for Remote Golf Data Analytics jobs?

Cities in Missouri with the most Remote Golf Data Analytics job openings:

Remote Golf Data Analytics jobs near you
Infographic showing various Remote Golf Data Analytics job openings in Missouri as of August 2026, with employment types broken down into 7% Internship, 62% Full Time, 14% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Senior Data & Analytics Engineer

Jobgether

Remote

$81K - $111K/yr

Full-time

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 Senior Data & Analytics Engineer based in Netherlands.

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help transform complex data into scalable, trusted, and actionable insights for both customers and internal teams. The role combines data engineering, analytics engineering, and data product ownership, giving you broad influence across the data ecosystem. You'll modernise existing BI capabilities while building robust pipelines, semantic models, customer-facing analytics, and governance practices. Your work will directly support better decisions and measurable environmental and operational impact in the aviation industry. This is a high-autonomy role for someone who enjoys solving complex problems, improving systems, and connecting technical solutions to real customer value.

Accountabilities:
  • Take end-to-end ownership of the data platform, including Databricks, Microsoft Fabric, scalable pipelines, and lakehouse architecture.
  • Design, build, and operate robust ETL/ELT workflows supporting batch and near-real-time data processing.
  • Establish and maintain data quality, reliability, observability, performance, and architectural standards across the platform.
  • Define data contracts, architecture principles, and modular, scalable approaches while optimising platform costs and workload distribution.
  • Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset refresh processes.
  • Build and maintain customer-facing dashboards, embedded analytics, and data exports while ensuring consistent and trusted metrics.
  • Enable governed self-service analytics and support secure, scalable multi-tenant data models.
  • Translate customer and business needs into scalable data products, define reporting standards with Product, and identify opportunities to create additional value through data.
  • Implement testing, validation, monitoring, alerting, CI/CD, versioning, and other engineering practices across data pipelines and BI assets.
  • Lead the transition from an existing vendor-built BI solution by reverse-engineering pipelines, logic, and reports, reducing technical debt, and rebuilding toward a clean, product-grade architecture.
  • Proactively identify patterns, anomalies, optimisation opportunities, and new insights that can generate measurable customer and business impact.
Requirements:
  • 5+ years of experience in data engineering or analytics engineering, ideally focused on customer-facing BI products.
  • Proven experience building scalable data platforms and customer-facing analytics in SaaS or product-driven environments.
  • Strong hands-on expertise with Databricks, including Spark/PySpark and Delta Lake.
  • Strong experience with Microsoft Fabric and/or the broader Azure data ecosystem.
  • Advanced Power BI expertise, including data modelling, DAX, performance optimisation, and semantic models.
  • Advanced SQL skills and strong knowledge of dimensional modelling, particularly Kimball methodology.
  • Strong understanding of lakehouse architecture, ETL/ELT design, multi-tenant data models, and embedded analytics.
  • Experience implementing CI/CD for data pipelines and BI assets, as well as version control using tools such as Git.
  • Strong engineering discipline, including writing reusable, modular, maintainable, and testable code.
  • Experience with data quality, monitoring, validation, and testing practices.
  • Knowledge of Azure infrastructure, including IAM and networking, is a plus.
  • Familiarity with data quality frameworks such as Great Expectations is an advantage.
  • Strong ownership and autonomy, with a focus on outcomes rather than simply completing assigned tasks.
  • Product-oriented and impact-driven mindset, with the ability to connect technical data solutions to customer value.
  • Proactive and pragmatic approach, with a preference for simple, effective solutions over unnecessary complexity.
  • Strong communication skills and the ability to make complex technical concepts accessible to both technical and business stakeholders.
  • Minimum English proficiency of C1.
  • Willingness to participate in two annual one-week team events.
Benefits:
  • Fully remote working environment within Europe.
  • Opportunity to take significant ownership of a modern data platform and BI ecosystem.
  • Broad scope combining data engineering, analytics engineering, and data product ownership.
  • Opportunity to work on technology designed to reduce food waste, fuel consumption, costs, and CO emissions in the aviation industry.
  • International and diverse working environment with colleagues across multiple countries.
  • Strong emphasis on continuous learning, collaboration, creativity, and inclusion.
  • Opportunity to build customer-facing analytics and data products with measurable real-world impact.
  • Two annual one-week team events offering opportunities for in-person collaboration.
  • High level of autonomy and flexibility in how you approach technical challenges and deliver outcomes.
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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