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Remote Sports Data Analyst Jobs in Boston, MA (NOW HIRING)

Canton, MA - 100% Remote Position Overview Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain. The ...

Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial background, should have experience ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

As a Staff Data Analyst at SmithRx, you'll play a pivotal role on a high-impact Data team, leading ... US - Remote Zone A includes the following locations: * San Francisco Bay Area - California * Metro ...

New

Trauma data Analyst

Salem, MA · On-site +1

$17.71 - $25.28/hr

No Licenses and Credentials Experience related experience 2-3 years in Trauma Analyst Data required ... Hearing Constantly (67-100%) Remote Type Remote Work Location 3 Dove Ave Scheduled Weekly Hours 36 ...

Title - Technical Lead - Data Analysis Location - Boston, MA - Remote JD - Key Skills * Advanced SQL & Data Modeling - Proven ability to design robust data models, write complex SQL, and build ...

Media Analyst - Remote

Boston, MA · On-site +1

$60K - $65K/yr

Collect, analyze, and interpret media performance data across digital and traditional media channels.This includes deep dives in to campaign performance to uncover trends, patterns, and optimization ...

New

Position Summary As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

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Remote Sports Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote sports data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote sports data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What does a remote sports data analyst do?

A Remote Sports Data Analyst collects, processes, and interprets data related to sports events, teams, and athletes, all while working from a remote location. They use statistical tools and software to analyze game results, player performance, and other metrics to provide meaningful insights. These insights can help teams improve strategies, support media coverage, or assist betting companies. The role requires strong analytical skills, proficiency in data analysis software, and a deep understanding of sports. Remote Sports Data Analysts often present their findings through reports, dashboards, or visualizations for stakeholders.

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

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, statistics, or data science. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics software, along with experience in data visualization platforms like Tableau, is typically required. Exceptional attention to detail, clear communication, and the ability to work independently are standout soft skills for this remote role. These skills are essential for accurately interpreting sports data, delivering actionable insights, and effectively collaborating with teams from a distance.

How do remote sports data analysts effectively collaborate with team members despite working from different locations?

Remote Sports Data Analysts typically use a variety of digital tools—such as project management platforms, instant messaging apps, and video conferencing software—to stay connected with colleagues. Regular virtual meetings and shared dashboards ensure that data insights are communicated clearly and deadlines are met. Collaboration often involves working closely with coaches, scouts, and other analysts to interpret data and provide actionable recommendations. Establishing strong communication habits and being proactive in sharing updates are key to overcoming the challenges of remote teamwork.

What are the most commonly searched types of Sports Data Analyst jobs in Boston, MA?

The most popular types of Sports Data Analyst jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Sports Data Analyst jobs?

Cities near Boston, MA with the most Remote Sports Data Analyst job openings:

Infographic showing various Remote Sports Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Data Analyst

Digital Links Inc

Canton, MA • Remote

Contractor

Posted 25 days ago


Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.