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Remote Golf Data Analytics Jobs (NOW HIRING)

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Elder Research

Data Analyst (Remote)

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Elder Research

Data Analyst (Remote)

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

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Remote Golf Data Analytics information

What is a Remote Golf Data Analytics job?

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 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 the key skills and qualifications needed to thrive as a Remote Golf Data Analytics professional, and why are they important?

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.
More about Remote Golf Data Analytics jobs
What cities are hiring for Remote Golf Data Analytics jobs? Cities with the most Remote Golf Data Analytics job openings:
What are the most commonly searched types of Golf Data Analytics jobs? The most popular types of Golf Data Analytics jobs are:
What states have the most Remote Golf Data Analytics jobs? States with the most job openings for Remote Golf Data Analytics jobs include:
What job categories do people searching Remote Golf Data Analytics jobs look for? The top searched job categories for Remote Golf Data Analytics jobs are:
Remote Golf Data Analytics jobs near you
Infographic showing various Remote Golf Data Analytics job openings in the United States as of June 2026, with employment types broken down into 20% As Needed, 60% Full Time, and 20% Part Time. Highlights an 99% Physical, and 1% Remote job distribution.

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Posted 28 days ago

Key responsibilities

  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards.

  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them.

  • Create self-serve analytics tools and datasets that empower stakeholders across the organization.

Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment

Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)

Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy

Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights

Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)

This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact

Benefits
  • Competitive Salary
  • Health Insurance - (US Only)
  • 401(k) - (US Only)
  • Remote Work Environment
  • Maternity/Paternity Leave

$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
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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