2

Remote Salesforce Data Analyst Jobs in Florida (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

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 ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data analytics at scale * Collaborate with cross-functional teams to define data governance ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... This role will be tackling some of our most challenging analytical problems in P&C Underwriting by ...

New

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... This role will be tackling some of our most challenging analytical problems in P&C Underwriting by ...

New

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

Decision Science Analyst Senior

Tampa, FL · On-site +1

$83K - $110K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Showing results 41-60

Remote Salesforce Data Analyst information

What is the difference between Remote Salesforce Data Analyst vs Remote Salesforce Business Analyst?

AspectRemote Salesforce Data AnalystRemote Salesforce Business Analyst
CertificationsSalesforce Data Analyst Certification, Salesforce Platform App BuilderSalesforce Administrator Certification, Business Analysis Certifications
Primary FocusData analysis, reporting, data management within SalesforceBusiness process analysis, requirements gathering, solution design in Salesforce
Work EnvironmentData teams, analytics departments, CRM projectsBusiness units, project teams, client-facing roles
Common UsageAnalyzing Salesforce data, creating dashboards, data integrityIdentifying business needs, implementing Salesforce solutions, process improvements

While both roles work within the Salesforce ecosystem, the Remote Salesforce Data Analyst primarily focuses on analyzing and managing data, whereas the Remote Salesforce Business Analyst concentrates on understanding business needs and translating them into Salesforce solutions. Both roles often collaborate but serve different core functions in Salesforce projects.

How much does a remote Salesforce Data Analyst make?

A remote Salesforce Data Analyst typically earns between $60,000 and $100,000 annually, depending on experience, certifications, and location. Salaries can vary based on industry, company size, and the complexity of data projects handled.

Does Salesforce offer remote positions?

Salesforce Data Analysts and other Salesforce-related roles are often available as remote positions, especially with the increasing adoption of flexible work arrangements. Many companies hiring for these roles seek candidates with skills in Salesforce tools, data analysis, and certifications, and remote work is common in the industry.

Is it possible to work remotely as a remote Salesforce Data Analyst?

Yes, many organizations hire Salesforce Data Analysts for remote work, especially as the role involves analyzing data and managing Salesforce platforms, which can be done from anywhere with internet access. Remote positions often require strong skills in data analysis, Salesforce tools, and communication, and may include flexible schedules or specific certification requirements.
What are the most commonly searched types of Salesforce Data Analyst jobs in Florida? The most popular types of Salesforce Data Analyst jobs in Florida are:
What job categories do people searching Remote Salesforce Data Analyst jobs in Florida look for? The top searched job categories for Remote Salesforce Data Analyst jobs in Florida are:
What cities in Florida are hiring for Remote Salesforce Data Analyst jobs? Cities in Florida with the most Remote Salesforce Data Analyst job openings:
Infographic showing various Remote Salesforce Data Analyst job openings in Florida as of June 2026, with employment types broken down into 4% Internship, 78% Full Time, and 18% Contract. Highlights an 100% Remote job distribution.

Sr Data Engineer

Pediatric Associates

Plantation, FL • Remote

$109K - $131K/yr

Full-time

Re-posted 27 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