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Remote Football Data Analyst Jobs in Colorado (NOW HIRING)

Airspace

FP&A Analyst

Boulder, CO · On-site +1

$70K - $80K/yr

Works closely with Accounting, Revenue and Operations, People/HR, and the Data & Analytics team, as well as departmental budget owners across the business. Location: Carlsbad, CA (Hybrid) or Remote ...

FinFolio

Reconcile accounts and analyze data problems * Communicate with clients about reconciliation ... Knowledge of scripting tools, SQL, coding skills What remote tools do we use? * Slack for intra ...

Hach

Market Intelligence Analyst

Loveland, CO · Remote

A flexible, remote-friendly work environment * Paid holidays and a permissive paid time off policy ... BusinessAnalytics, Data Analytics, Finance or Business Administration a plus. * 3+ years of ...

Ascentan Llc

AP Analyst (Remote)

Loveland, CO · Remote

$20 - $22/hr

This is strictly a remote/work from home opportunity . You will be provided a company laptop with ... Cleanse supplier data records using a matching verification tool as well as interaction with ...

Ascentan Llc

AP Analyst (Remote)

Loveland, CO · Remote

$20 - $22/hr

This is strictly a remote/work from home opportunity . You will be provided a company laptop with ... Cleanse supplier data records using a matching verification tool as well as interaction with ...

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All JobsFootball Data Analyst JobsRemote Football Data Analyst JobsRemote Football Data Analyst Jobs in Colorado

Remote Football Data Analyst information

What is a remote football data analyst?

A Remote Football Data Analyst is a professional who analyzes football (soccer) data and statistics to provide insights on team performance, player metrics, and match outcomes, all while working from a remote location. They use various data sources and analytical tools to interpret match data, identify trends, and support coaching staff, scouts, or media organizations. Their work may include creating reports, visualizing data, and building statistical models to inform decisions. This role typically requires strong analytical skills, proficiency in data analysis software, and a deep understanding of the game.

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

To thrive as a Remote Football Data Analyst, you need strong analytical skills, a solid understanding of football tactics, and a degree in statistics, mathematics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and specialized sports analytics platforms such as Opta or Wyscout is typically required. Attention to detail, effective communication, and the ability to work independently are essential soft skills for remote collaboration and insight delivery. These skills enable accurate data interpretation, actionable insights, and effective support for coaching or management decisions in a competitive sports environment.

How do remote football data analysts typically collaborate with coaching staff and scouts despite working off-site?

Remote Football Data Analysts regularly use digital communication tools and data visualization platforms to share insights with coaching staff and scouts. Collaboration often involves scheduled video meetings, sharing dashboards, and providing real-time data interpretations to support tactical decisions. While not physically present, analysts are integral to pre- and post-match briefings, and their ability to convey complex data clearly is crucial in helping the team understand and utilize the insights effectively.

What is the difference between Remote Football Data Analyst vs Remote Sports Data Analyst?

AspectRemote Football Data AnalystRemote Sports Data Analyst
Required CredentialsDegree in Sports Analytics, Data Science, or related field; knowledge of football statisticsDegree in Sports Analytics, Data Science, or related field; broad sports knowledge
Work EnvironmentRemote, often with sports teams, analytics firms, or media companiesRemote, employed by sports organizations, media outlets, or analytics agencies
Industry UsageFocused on football-specific data analysis and performance metricsAnalyzes data across multiple sports, including football, basketball, and others
Common Search/ComparisonOften compared for specialization in footballBroader sports analysis roles

The Remote Football Data Analyst specializes in football-specific data, requiring knowledge of football metrics and analytics. In contrast, the Remote Sports Data Analyst covers multiple sports, offering a broader scope. Both roles share similar credentials and work environments but differ in industry focus and specialization.

What are the most commonly searched types of Football Data Analyst jobs in Colorado?

The most popular types of Football Data Analyst jobs in Colorado are:

What are popular job titles related to Remote Football Data Analyst jobs in Colorado?

For Remote Football Data Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Football Data Analyst jobs in Colorado look for?

The top searched job categories for Remote Football Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Remote Football Data Analyst jobs?

Cities in Colorado with the most Remote Football Data Analyst job openings:

Remote Football Data Analyst jobs near you
Infographic showing various Remote Football Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

DATA ENGINEER

Fluid Consulting Services

Boulder, CO • Remote

$130K/yr

Full-time

Re-posted 16 days ago

Job description

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines.

Key Responsibilities

  • Develop and maintain data ingestion pipelines feeding into BigQuery
  • Replace outdated ETL/ELT processes with modern solutions
  • Set up monitoring, alerting, and workflow visibility
  • Contribute to orchestration design and implementation (Airflow, Dagster, Prefect)
  • Support DBT development and CI/CD practices
  • Tune BigQuery performance and manage access/security controls
  • Maintain documentation, data flow diagrams, and catalogs

Required Experience

  • 3+ years in data engineering
  • Strong SQL skills with BigQuery, Snowflake, or Redshift
  • Hands-on work with orchestration tools
  • Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
  • Experience with DBT, Docker, CI/CD pipelines
  • Ingestion tooling experience (e.g., Fivetran)
  • Knowledge of data governance or SOC 2 standards

Tech Stack Snapshot

BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog

Compensation

Starting around $130K OTE, adjusted for experience and location.

Location

U.S. remote (limited state availability).

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