1

Data Analytics Apprentice Jobs in Miami, FL (NOW HIRING)

Be Seen First

Use data analytics and employer feedback to refine curricula and strengthen student and apprentice retention. * Encourage innovation while ensuring all initiatives align with compliance and reporting ...

Support the design and delivery of school, cadet, and apprenticeship programs to build talent ... Collect, analyze, and report data to inform program improvements and leadership decision-making.

If you thrive in a fast-paced environment, enjoy using data to drive decisions, and excel at ... analytics ✅ Identify opportunities to improve customer service, order processing, and operational ...

Analyze and understand industry market trends, competition, products, margin opportunities, and ... Bachelor's degree, or equivalent, in statistics, data science, finance, accounting, business, or ...

Provide strategic analysis and gross margin forecasting by Country and service segments ... Bachelor's degree, or equivalent, in statistics, data science, finance, accounting, business, or ...

... Mechanics, Apprentices, and Delivery Associates. * Train and mentor staff on installation ... Analyze project data to identify trends and areas for improvement. Resource Management: * Manage ...

Showing results 21-40

Data Analytics Apprentice information

See Miami, FL salary details

$11

$21

$34

How much do data analytics apprentice jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics apprentice in Miami, FL is $21.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analytics apprentice?

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistics, data manipulation, and basic programming, often supported by foundational coursework or a related degree. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret data and share insights clearly. These skills are vital for transforming raw data into actionable information, supporting decision-making, and learning advanced analytics techniques on the job.

What types of projects and tasks can I expect to work on as a data analytics apprentice?

As a Data Analytics Apprentice, you will typically work on a range of projects such as cleaning and organizing datasets, creating reports and visualizations, and conducting basic analyses to uncover trends or patterns. You'll often collaborate with data analysts, engineers, and business teams to support decision-making processes. Expect to use tools like Excel, SQL, or Tableau, and gradually take on more complex assignments as your skills develop. This hands-on experience is designed to build foundational skills and prepare you for more advanced data roles in the future.

What is the difference between Data Analytics Apprentice vs Data Analyst?

AspectData Analytics ApprenticeData Analyst
Required CredentialsOften entry-level, some may have a degree or certification in data-related fieldsTypically requires a degree in data science, statistics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentInternship or trainee position, often in a corporate or consulting settingFull-time role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train and evaluate potential future analystsStandard role for analyzing data, creating reports, and supporting decision-making

The main difference is that a Data Analytics Apprentice is an entry-level trainee position designed for learning and development, while a Data Analyst is a full-fledged professional responsible for analyzing data and providing insights. Apprenticeships often serve as a stepping stone toward becoming a Data Analyst.

What does a data analytics apprentice do?

A Data Analytics Apprentice is an entry-level professional who supports data analysis tasks while learning on the job. They assist with collecting, cleaning, and interpreting data to help organizations make informed decisions. Apprentices often work under the supervision of experienced data analysts, using tools like Excel, SQL, and basic data visualization software. Their responsibilities may include creating reports, identifying trends, and helping with data-driven projects as they develop their skills.
What are the most commonly searched types of Data Analytics jobs in Miami, FL? The most popular types of Data Analytics jobs in Miami, FL are:
Infographic showing various Data Analytics Apprentice job openings in Miami, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $45,383 per year, or $21.8 per hour.

Fintech Pricing Analyst- LATAM

Intermex Wire Transfer

Coral Gables, FL

Full-time

Re-posted 6 hours ago


Job description

The Pricing Analyst, reporting to Director of Pricing, is responsible for analyzing, optimizing, and continuously refining the company's pricing strategy across assigned territories and vendors. This role serves as the analytical engine behind pricing decisions—leveraging advanced analysis, forecasting, and scenario modeling to predict outcomes, guide tradeoffs, and drive sustained improvements in price realization and gross margin.

As a strategic pricing partner to Sales Operations and Regional Sales Leadership, the Pricing Analyst translates market signals and economic insights into actionable pricing decisions. This role operates as both a strategic advisor and hands‑on individual contributor, driving pricing initiatives end‑to‑end while proactively adjusting course based on performance, market response, and competitive dynamics.

Key Responsibilities

  • Own pricing strategy execution with a strong emphasis on continuous optimization, performance measurement, and directional pivots based on real‑world results.
  • Act as a strategic thought partner to the Sales Organization by evaluating pricing tradeoffs between volume, margin, competitiveness, and customer behavior.
  • Identify when pricing strategies are underperforming and recommend corrective actions, alternative price structures, or tactical adjustments.
  • Develop and maintain pricing models, elasticity analyses, and scenario simulations to forecast the impact of pricing decisions on demand, revenue, margin, and customer retention.
  • Perform pre‑ and post‑implementation pricing analysis to quantify impact versus expectations and refine future strategies.
  • Build forward‑looking business cases that compare alternative pricing strategies and predict outcomes under different market conditions.
  • Use historical performance, deal‑level data, and customer behavior patterns to anticipate risks and opportunities.
  • Monitor evolving market conditions, competitor pricing moves, customer buying behaviors, and cost drivers to inform proactive pricing adjustments.
  • Lead competitive pricing and value positioning analyses, translating market insights into differentiated pricing recommendations.
  • Analyze industry and customer trends to identify emerging pricing opportunities, structural risks, and long‑term margin implications.
  • Analyze industry trends, competitor offerings, product economics, and margin drivers, synthesizing findings into clear recommendations for management.\
  • Partner with Sales Operations to ensure pricing strategies are executable, scalable, and supported by tools and processes.
  • Track pricing performance KPIs (price realization, discounting behavior, margin leakage) and recommend interventions where targets are missed.
  • Drive adoption of pricing changes by clearly articulating the "why," expected impact, and success metrics to stakeholders.

Qualifications

  • Bachelor's degree in Analytics, Statistics, Finance, Business, or a related field (or equivalent professional experience).
  • Demonstrated ability to develop predictive pricing models, scenario analyses, and data‑backed recommendations.
  • Experience in Forex, Trading and revenue analysis is desired
  • Strong analytical skills with exceptional attention to detail and accuracy.
  • Effective written, verbal, and presentation skills, with the ability to influence without direct authority.
  • Willingness to learn, listen, and share pricing expertise with stakeholders.

#IMXIHQ

Intermex Wire Transfer LLC. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

When accepting employment with Intermex Wire Transfer LLC., you authorize Intermex to conduct a background check as part of the hiring process. This includes a review of your criminal history, education, and employment history. You have the right to receive a copy of the background check report if you request it. This authorization is in accordance with the Fair Credit Reporting Act.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Intermex Wire Transfer LLC. makes hiring decisions based solely on qualifications, merit, and business needs at the time.

California Consumer Privacy Act