ZipRecruiter

Log In

2

Remote Data Transformation Analyst Jobs in Florida

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Nymbus, Inc.

Data Migration Analyst

Jacksonville, FL · Remote

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team ... Identify data quality issues, transformation errors, and anomalies that could affect conversion ...

YO AI Labs

Data Privacy Analyst - Remote

Miami, FL · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Data Meaning

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... Lead the migration of transformation logic into dbt models * Define architectural patterns for ...

Carrier

Data Engineer

FL · On-site +1

$64K - $129K/yr

Snowflake for data warehousing and transformation. * GCP services such as BigQuery, Dataflow, BigLake, and cloud storage. * Exposure to commercial, operational, or enterprise analytics use cases.

Celsius

Director, Business Transformation

Boca Raton, FL · On-site +1

Based in Boca Raton, FL with remote flexibility per team needs Travel Requirements: This position ... Experience: 5+ years in business transformation, analytics, data, or technology roles, including ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in one of several remote hire locations) Position Type: Full Time The ... report transformations * Demonstrated ability to integrate SQL-based data sources with Power BI ...

YO AI Labs

AI Consulting Expert - Remote

Miami, FL · Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Oates Energy

Data Analyst

Jacksonville, FL · Remote

$36 - $59/hr

This is a remote position. Summary Our management-oriented team is looking for a driven Data Analyst to help convert unstructured data into strategic business intelligence. In this vital role, you ...

Kemper

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Collaboration and Leadership Collaborate with data engineers, analysts, QA teams, and business ...

Luxury Coastal Vacations

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR ... Experience with a semantic or metrics layer and transformation tooling (dbt, MetricFlow, SQLMesh ...

Katmai

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

Master's preferred. • Eight (8) or more years of progressive data analytics, advanced data ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

next page

Showing results 1-20

All JobsData Transformation Analyst JobsRemote Data Transformation Analyst JobsRemote Data Transformation Analyst Jobs in Florida

Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

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

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are the most commonly searched types of Data Transformation Analyst jobs in Florida?

The most popular types of Data Transformation Analyst jobs in Florida are:

What are popular job titles related to Remote Data Transformation Analyst jobs in Florida?

For Remote Data Transformation Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation Analyst jobs in Florida look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Florida are:

What cities in Florida are hiring for Remote Data Transformation Analyst jobs?

Cities in Florida with the most Remote Data Transformation Analyst job openings:

Remote Data Transformation Analyst jobs near you
Infographic showing various Remote Data Transformation Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 19 days ago

Job description

PRIMARY FUNCTION
The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics.
The Senior Data Engineer collaborates closely with cross-functional teams—including data analysts, data scientists, product managers, and business stakeholders—to define requirements, drive technical discussions, and develop high-quality data solutions. Additionally, this role is expected to clearly communicate technical concepts, translate complex data challenges into actionable business insights, and guide teams toward best-practice data engineering approaches.
 

ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
1)Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
2)Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.
3)Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.
4)Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.
5)Lead and drive technical discussions, solution design, and architectural decisions across teams.
6)Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.
7)Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.
8)Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.
9)Ensure data security, compliance, and adherence to best practices across cloud and on-premise data systems.
10)Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.
11)Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.
 

QUALIFICATIONS


EDUCATION: Bachelor’s degree in related field required. Master’s degree preferred.
 

EXPERIENCE:
•10+ years of experience in data engineering or a related field required.
•Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
•Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
•Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
•Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
•Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
•Strong programming skills in Python or another modern scripting language required.
 

KNOWLEDGE, SKILLS AND ABILITIES
•Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
•Excellent communication, documentation, and stakeholder engagement skills.
•Proficient in building Power BI data models and creating effective dashboards.
•Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
•Excellent communication, documentation, and stakeholder engagement skills.
•Proficient in building Power BI data models and creating effective dashboards.
 

TYPICAL WORKING CONDITIONS
•Full time remote/telework


OTHER PHYSICAL REQUIREMENTS
•Vision
•Sense of sound
•Sense of touch

Apply