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Remote Mlb Data Analyst Jobs in Wisconsin (NOW HIRING)

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

AprilAire

Sales Data Analyst-LTE

Madison, WI · Remote

Remote--candidate must live within a 75 mile radius of Madison, WI Responsibilities The primary ... Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

WPS

Provider Network Reimbursement Analyst

Madison, WI · On-site +1

Role Snapshot The Provider Network Reimbursement Analyst completes data analyses to support ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Harris

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

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Remote Mlb Data Analyst information

What is a remote MLB data analyst?

A Remote MLB Data Analyst is a professional who analyzes baseball data for Major League Baseball (MLB) teams or related organizations while working remotely. Their responsibilities often include collecting, cleaning, and interpreting large datasets related to player performance, game strategy, and team statistics. They use statistical tools, programming languages such as Python or R, and data visualization software to provide insights that can help teams make informed decisions. This role requires strong analytical skills, knowledge of baseball, and the ability to communicate findings to coaches, managers, or front-office staff. Working remotely, they collaborate with teams and colleagues through digital communication platforms.

How does a remote MLB data analyst typically collaborate with on-site teams and other departments?

As a Remote MLB Data Analyst, you’ll frequently interact with coaches, scouts, and fellow analysts through virtual meetings, collaborative platforms, and shared databases. Regular communication is key to ensuring data-driven insights are effectively integrated into team strategies. Despite working remotely, you’ll still participate in group discussions, present findings, and coordinate with IT or software departments to streamline data workflows. Building strong digital communication skills and proactively seeking feedback helps bridge the distance and fosters a collaborative team environment.

What are the key skills and qualifications needed to thrive as a remote MLB data analyst, and why are they important?

To thrive as a Remote MLB Data Analyst, you need strong statistical analysis skills, proficiency in baseball analytics, and a background in mathematics, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau are typically required. Excellent communication, problem-solving abilities, and attention to detail help analysts interpret and present complex data effectively to stakeholders. These skills are crucial for generating actionable insights that can inform team decisions and drive competitive advantages in Major League Baseball.

What is the difference between Remote Mlb Data Analyst vs Remote Baseball Data Analyst?

AspectRemote Mlb Data AnalystRemote Baseball Data Analyst
CredentialsBachelor's in Sports Analytics, Data Science, or related field; knowledge of MLB statisticsBachelor's in Sports Analytics, Data Science, or related field; familiarity with baseball metrics
Work EnvironmentRemote, sports analytics companies, MLB teams, or sports mediaRemote, sports analytics companies, baseball organizations, or media outlets
Industry UsagePrimarily in Major League Baseball organizations and sports mediaIn baseball organizations, media, and sports analytics firms

The main difference between a Remote Mlb Data Analyst and a Remote Baseball Data Analyst lies in the specific focus on Major League Baseball in the former. Both roles require similar credentials and work environments, but the Remote Mlb Data Analyst is specifically tailored to MLB teams and organizations, whereas the Remote Baseball Data Analyst may include broader baseball-related roles across various leagues and media outlets.

What are popular job titles related to Remote Mlb Data Analyst jobs in Wisconsin?

For Remote Mlb Data Analyst jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Mlb Data Analyst jobs in Wisconsin look for?

The top searched job categories for Remote Mlb Data Analyst jobs in Wisconsin are:

Remote Mlb Data Analyst jobs near you

Sales Data Analyst-LTE

AprilAire

Madison, WI • Remote

Part-time

Posted 10 days ago

Job description

Overview
Join us during a busy season as a Sales Data Analyst-LTE! We are seeking a detail-oriented and analytical professional to provide immediate support for a high-volume sales claims processing function. This temporary part-time opportunity is designed to help manage critical operational workloads, improve process documentation, and support the Finance team during a busy season. 
 
Start: ASAP
End: Minimum 3 month, could be extended to January/Feburary depending on workload 
Schedule: 20 hours per week, flexible on work hours within 7am-6pm 
Work Style: Remote--candidate must live within a 75 mile radius of Madison, WI 

Responsibilities

The primary focus of this role will be supporting sales claim back processing and related operational activities, including:

  • Processing and administering customer claim backs for our sales team 
  • Assisting with sales claim back reconciliation and documentation
  • Supporting existing sales claim back workflows currently handled by multiple team members
  • Documenting processes, procedures, and best practices
  • Supporting sales transfer activities as needed
  • Utilizing automation tools and chatbot solutions developed to enhance claim back processing efficiency
  • Identifying opportunities for process improvements and operational efficiencies
  • Maintaining accurate records and ensuring data integrity

Qualifications
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Qualifications:
  • Bachelor's degree in one of the following areas; Data Analytics, Finance, Accounting, Business Administration, or related analytical disciplines
  • Experience with data analysis and reporting
  • Advanced Microsoft Excel skills, including formulas, data manipulation, and analysis
  • Experience in sales operations, finance, accounting, customer claims, or operational support functions
  • Strong attention to detail and organizational skills
  • Ability to manage multiple priorities in a fast-paced environment
  • Process-oriented mindset with strong documentation skills
  • Experience working with automation tools or process improvement initiatives is a plus
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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