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Remote Aws Sports Analytics Jobs (NOW HIRING)

Lorven Technologies

Data Engineer

$117K - $140K/yr

Remote US Full time role Strict instruction don't submit consultants more than 8 to 12 years ... Our Sports Analytics & Engineering Practice is seeking a seasoned Senior Data Engineer, whose ...

STI

AWS expert

Hartford, CT/REMOTE Duration: 12+ Months The Connecticut Department of Social Services (DSS) is ... call routing, and analytics, while integrating with other state systems like CRM and case ...

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Remote Aws Sports Analytics information

What is the difference between Remote Aws Sports Analytics vs Remote Data Analyst?

AspectRemote Aws Sports AnalyticsRemote Data Analyst
Required CredentialsExperience with AWS, sports analytics tools, programming (Python, R)Degree in data science, statistics, or related field; proficiency in Excel, SQL, visualization tools
Work EnvironmentSports organizations, tech companies, remote teamsVarious industries including finance, healthcare, marketing, remote options
Employer & Industry UsageSports teams, analytics firms, tech companiesMultiple sectors, broad application across industries
Search & Comparison IntentUnderstanding specialized sports data analysis with AWSGeneral data analysis roles across industries

Remote Aws Sports Analytics focuses on analyzing sports data using AWS cloud services, often requiring knowledge of sports metrics and cloud computing. Remote Data Analyst roles are broader, covering various industries and data types, with less emphasis on sports-specific skills. Both roles involve data interpretation and reporting but differ in industry focus and technical tools.

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Infographic showing various Remote Aws Sports Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Director of Project Management

Swish Analytics

San Francisco, CA • On-site, Remote

$190K/yr

Full-time

Re-posted 18 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
This position is 100% Remote
We are looking for a Director of Project Management to build the operational backbone that makes coordinated delivery possible across Swish. This is a build role, not a maintenance role. You will own how work gets planned, prioritized, tracked, and delivered across the company, and you will lead the cross-functional programs that no single department can deliver alone.
This is a senior leadership hire. You will lead our PMO, set the standard for the function, and partner directly with founders and department heads. Success is measured by whether the organization executes against its goals with predictability and visibility - not by process for its own sake.
What you'll own
  • Cross-functional program leadership - Direct ownership of the programs that span Trading, Engineering, Data Science, and Data Engineering. You are the single accountable owner for delivery across team boundaries on these programs, including dependencies, sequencing, risk, and the tradeoff decisions when priorities collide.
  • The operating system for delivery - Own and evolve the frameworks that let the company plan and execute coherently - intake, prioritization, change management, project lifecycle, definition of done, and release cadence. The goal is a system the teams internalize and run themselves, not a process the PMO has to police.
  • Delivery coordination and predictability - Establish the cadence, instrumentation, and reporting that make work visible from company strategy down to individual execution. Surface risks early. Make reprioritization a deliberate, logged decision rather than a silent one.
  • Delivery maturity across the org - Teams across Swish operate at different levels of delivery discipline. You will set the bar, point to what already works well internally, and partner with department heads to raise the standard everywhere - through influence and demonstrated value rather than mandate.
  • Team leadership - Lead, develop, and grow the PMO. Set the behavioral and craft bar for the function, coach toward a standard, calibrate across the team, and build the bench.

What we're looking for:
  • Built a PMO before - You have stood up or substantially rebuilt a program management function - not just run projects inside someone else's system. You know the difference between coordinating work and designing the system that coordinates work.
  • Cross-functional program depth - You have owned large programs that spanned multiple engineering and technical organizations, with real accountability for delivery across boundaries.
  • Builds for adoption - You think like a product person building something users will actually use, not a policy author issuing mandates. You understand that the simplest process that gets adopted beats the comprehensive one that gets routed around.
  • Operates with founders and executives - You can hold your own as a peer with department heads and founders, bring the value and capacity cases to prioritization decisions, and influence without formal authority over the teams you coordinate.
  • Sound judgment under pressure - You escalate cleanly rather than absorbing blockers, navigate competing priorities and organizational friction with maturity, and know which battles are worth fighting.

What success looks like
  • The company's most important cross-functional programs have a single accountable delivery owner and a clear, visible plan tied to company goals.
  • Cross-functional work no longer falls through the seams between teams.
  • Work is visible from strategy to execution, and reprioritization is a logged, deliberate event.
  • Teams run the delivery system themselves because it makes their work easier, not because they're forced to.
  • The PMO is a respected partner to the founders and department heads, not a bureaucratic tax.

Preferred:
  • Experience in sports, sports betting, fintech, or real-time data environments
  • Background scaling a program management team through a period of rapid company change
  • Familiarity with the Atlassian stack (Jira, Confluence) and lightweight automation

Salary: Base salary starting at $190,000 +
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Business Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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