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Remote Mlb Data Analyst Jobs in Phoenix, AZ (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

... for research and analytical purposes. Ability to use data to glean insights and form ... Strong ability to stay connected to remote partners and stakeholders.

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

DATA ANALYST INTERMEDIATE Apply now Job No: 540431 Work Type: Full-time Location: PHOENIX ... All work, including remote work, should be performed within Arizona unless an exception is properly ...

Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Analyst-IMD Data Management

Phoenix, AZ · On-site +1

$51K - $59.30K/yr

Primary Duties Data Analysis & Reporting: * Create and maintain reports and dashboards to track ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Creates a clear path into roles such as data stewardship, data governance, business analysis, risk ... in a remote, crosslocation environment Education * Bachelor's degree in business, finance, or ...

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Remote Mlb Data Analyst information

See Phoenix, AZ salary details

$33.8K

$82.1K

$135K

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

As of May 28, 2026, the average yearly pay for remote mlb data analyst in Phoenix, AZ is $82,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Phoenix, AZ? For Remote Mlb Data Analyst jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Mlb Data Analyst jobs in Phoenix, AZ look for? The top searched job categories for Remote Mlb Data Analyst jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Mlb Data Analyst jobs? Cities near Phoenix, AZ with the most Remote Mlb Data Analyst job openings:

Data Analyst (REMOTE)

Arsenault

Phoenix, AZ • Remote

$115K - $126K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Responsibilities Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets. Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs. Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required. Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance. Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization. Other Duties as Assigned Supervisory Responsibilities No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers.

May coordinate and assign tasks to co-workers within a work unit and/or project. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work. Communication Skills Excellent written and verbal communication skills.

Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES Experience with Microsoft BI stack (e.g., SSRS) a bonus. Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook. Strong analytical skills.

SCOPE OF RESPONSIBILITY Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

Compensation and Equal Opportunity Statements In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado. If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay. ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing. #J-18808-Ljbffr