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Remote Baseball Data Analyst Jobs (NOW HIRING)

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Data Analyst Location : TX/FL/Remote * Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus * Work with the Data Engineering Team to build data ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

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Remote Baseball Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 3, 2026, the average yearly pay for remote baseball data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Baseball Data Analyst position, and why are they important?

To excel as a Remote Baseball Data Analyst, you need strong analytical skills, statistical knowledge, and a background in mathematics or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, database management systems, and advanced data visualization tools is highly valuable. Excellent attention to detail, communication abilities, and self-motivation are important soft skills for remote collaboration and reporting. These skills ensure accurate data analysis, effective insights, and successful teamwork in a virtual environment.

What are the typical day-to-day responsibilities of a Remote Baseball Data Analyst?

As a Remote Baseball Data Analyst, your daily tasks often include collecting, cleaning, and analyzing large datasets related to player statistics, game outcomes, and scouting reports. You’ll build and maintain data models, generate reports, and create visualizations to communicate insights to coaches, scouts, and management. Additionally, you may participate in virtual team meetings and collaborate with other analysts or technical staff to support decision-making processes. Strong communication and time management skills are key to coordinating effectively across a dispersed team and meeting project deadlines.

What is a Remote Baseball Data Analyst job?

A Remote Baseball Data Analyst analyzes baseball-related data to provide insights that help teams, organizations, or media make informed decisions. They work with statistics, scouting reports, and performance metrics using tools like SQL, R, Python, or specialized baseball databases. Since the role is remote, communication with coaches, scouts, or front-office staff is typically done via email, video calls, or reports. Responsibilities may include player evaluation, statistical modeling, game strategy analysis, or predictive analytics. This role requires a strong background in data analysis, baseball knowledge, and the ability to interpret complex data effectively.

More about Remote Baseball Data Analyst jobs
What cities are hiring for Remote Baseball Data Analyst jobs? Cities with the most Remote Baseball Data Analyst job openings:
What are the most commonly searched types of Baseball Data Analyst jobs? The most popular types of Baseball Data Analyst jobs are:
What states have the most Remote Baseball Data Analyst jobs? States with the most job openings for Remote Baseball Data Analyst jobs include:
Infographic showing various Remote Baseball Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 5 days ago


Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.