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Remote Mlb Data Analyst Jobs in Puerto Rico (NOW HIRING)

Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to ...

... Remote Serve as a Senior Engineer - Execution Systems in a hybrid work environment, designing ... analytics. • Optimize data collection strategies by tuning sampling rates, compression, and ...

Linguist III

PR · Remote

... Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic analyses on ... for data analysis are a plus. Must be able to independently work through complex requests and ...

Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

Hospital Billing Operator

San Juan, PR · Remote

$18 - $23/hr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

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Remote Mlb Data Analyst information

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 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 Puerto Rico? For Remote Mlb Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Mlb Data Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Mlb Data Analyst jobs in Puerto Rico are:
Infographic showing various Remote Mlb Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 41% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 15 days ago


Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities
  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications
  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications
  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies
  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach