2

Data Broker Remote Jobs in Miami, FL (NOW HIRING)

Runs high-volume outbound to commercial real estate owners and brokers, positioning Crexi as the go ... keep CRM data accurate, current, and actionable. * Represents Crexi at industry events and ...

Affiliate Manager

Miami, FL · On-site +1

$73K - $90K/yr

Our team At Excel™ we believe remote working is an important way to enable people to achieve ... Strong judgment, comfort with data, and a bias toward action are essential. Key responsibilities ...

New

Review Appraiser

Florida City, FL · On-site +1

$82K - $90K/yr

WBL operates with a fully remote, multinational workforce and an experienced executive leadership ... Review residential or commercial appraisals, evaluations, broker price opinions, automated ...

Review Appraiser

Florida City, FL · On-site +1

$82K - $90K/yr

WBL operates with a fully remote, multinational workforce and an experienced executive leadership ... Review residential or commercial appraisals, evaluations, broker price opinions, automated ...

... brokers, and terminal operators to assess service quality * Proactively address and resolve delays ... data to drive problem-solving * Exceptional verbal and written communication skills with the ...

Data Broker Remote information

What is a data broker?

A Data Broker is a professional or company that collects, processes, and sells information about individuals or organizations, often for marketing, analytics, or risk management purposes. When working remotely, Data Brokers use digital tools to gather data from various online sources, compile databases, and provide insights to clients without being tied to a physical office. Their responsibilities may include verifying data accuracy, ensuring privacy compliance, and delivering customized datasets to meet client needs.

What are the key skills and qualifications needed to thrive as a data broker remote?

To thrive as a Data Broker (Remote), you need a strong background in data analysis, research, and understanding of data privacy regulations, often supported by a degree in information technology, business, or a related field. Familiarity with data management platforms, CRM systems, and tools like SQL or Excel is typically required. Excellent negotiation, communication, and ethical judgment are key soft skills that distinguish top performers in this role. These abilities ensure effective sourcing, evaluation, and exchange of valuable data while maintaining compliance and client trust in a remote environment.

What are the typical data privacy challenges faced by remote data brokers, and how can they be addressed?

Remote Data Brokers often encounter challenges related to ensuring data privacy and complying with regulations such as GDPR and CCPA, especially when handling sensitive or personally identifiable information. Working remotely can add complexity, as data security depends on both the broker's home setup and company protocols. To address these challenges, it's crucial to use encrypted connections, adhere to strict access controls, and stay updated on relevant data protection laws. Employers typically provide secure tools and regular training, but it's also important for remote Data Brokers to proactively communicate with IT and legal teams to uphold best practices.

What is the difference between Data Broker Remote vs Data Analyst Remote?

AspectData Broker RemoteData Analyst Remote
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data managementBachelor's degree in data science, statistics, or related field; certifications like Microsoft Excel or SQL beneficial
Work EnvironmentIndependent, often involves data collection and aggregation from various sourcesAnalytical, involves interpreting data, creating reports, and visualizations
Employer & Industry UsageUsed by data brokers, marketing firms, and data aggregatorsUsed across industries including finance, healthcare, marketing, and tech

While both roles involve working with data remotely, Data Broker Remote focuses on collecting and selling data, often requiring knowledge of data sources and privacy regulations. Data Analyst Remote emphasizes analyzing data to generate insights, requiring strong analytical skills and familiarity with data tools. Understanding these differences helps job seekers identify the right remote data role for their skills and career goals.

How do you become a data broker?

To become a data broker, individuals typically gain experience in data management, analytics, or sales, and may pursue certifications in data privacy or cybersecurity. Building knowledge of data sources, privacy laws, and data handling tools is essential, along with establishing industry connections and understanding legal regulations governing data use.

What does a data broker do?

A data broker collects, aggregates, and sells consumer and business data from various sources to clients such as marketers, advertisers, and researchers. They analyze large datasets using tools like databases and data management software to provide insights or targeted information. Data brokers must adhere to privacy laws and often require knowledge of data security and compliance standards.

What cities near Miami, FL are hiring for Data Broker Remote jobs?

Cities near Miami, FL with the most Data Broker Remote job openings:

Infographic showing various Data Broker Remote job openings in Miami, FL as of August 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Data Analytics Engineer

Lakeview Loan Servicing

Coral Gables, FL • Remote

$118K - $130K/yr

Full-time

Posted 10 days ago


Job description

Overview

Lakeview Household Insurance Solutions (LHIS) is the insurance brokerage arm of Lakeview Loan Servicing, offering P&C personal lines of insurance to approximately 3 million mortgage customers serviced by Lakeview Loan Servicing. The pay range for this position is $118,000-$130,000

The Data Analytics Engineer is responsible for designing and maintaining the analytical data structures, semantic models, reporting datasets, and data governance processes that support trusted business intelligence across LHIS. Working within the Business Intelligence function, this role serves as a key owner of data quality, analytical architecture, and reporting enablement across multiple business domains.

The Data Analytics Engineer partners closely with Sales, Marketing, Operations, Technology, and Data Engineering to ensure operational processes are structured to support accurate reporting, while developing and maintaining analytical models within Microsoft Fabric. Particular emphasis is placed on sales and customer lifecycle data, ensuring operational systems produce reliable and analytically useful information from the point of collection through final reporting and KPI delivery.


Responsibilities

Data Governance & Process Design

  • Partner with business leaders to ensure operational processes capture accurate, complete, and reportable data.
  • Recommend improvements to workflows, field structures, stage definitions, and business processes to improve reporting accuracy and data quality.
  • Establish and maintain standards for data governance, field usage, and business definitions.
  • Identify gaps in data collection and implement solutions that improve analytical visibility.
  • Audit operational data and system usage to ensure consistency across departments.
  • Serve as the primary analytical stakeholder for business process and data structure decisions, ensuring changes to operational systems support both business execution and future reporting requirements.

 

Analytics Architecture & Semantic Modeling

  • Design and maintain semantic models within Microsoft Fabric to support enterprise reporting and analytics.
  • Develop analytical datasets and business logic required for reporting and performance measurement.
  • Translate operational business processes into scalable analytical models.
  • Apply dimensional modeling principles, including Kimball methodologies, fact tables, and dimension tables, to support reporting, dashboarding, and future analytical initiatives.
  • Partner with Data Engineering to ensure source data is available and properly structured for analytical consumption.
  • Support the ongoing development and enhancement of the Business Intelligence layer and contribute to scalable reporting frameworks capable of supporting future organizational growth.

 

Reporting, Business Intelligence & Data Quality

  • Define, document, and maintain KPI calculations and business metric definitions.
  • Validate reporting outputs against operational expectations and business requirements.
  • Support dashboard development and ad hoc analytical initiatives for Sales, Marketing, and Operations.
  • Develop reconciliation processes and data quality controls, including monitoring, validation, and issue resolution, to improve trust in reporting.
  • Collaborate with stakeholders to ensure reporting solutions support business objectives and improve data capture outcomes.
  • Identify opportunities for advanced analytics as organizational data maturity increases.

Qualifications

The job requires regular sitting and use of hands for handling objects, tools, or controls, with frequent talking and listening in a moderately noisy environment. There will be occasional standing, walking, and reaching with hands and arms, with rare instances of stooping, kneeling, crouching, or crawling. Lifting and moving objects up to 10 pounds is a regular part of the role. Specific vision abilities such as close vision, color vision, and the ability to adjust focus are necessary.

Additionally, the employee must connect to the internet via a direct Ethernet connection, maintain a dedicated workspace to safeguard customer information, and have an internet connection with a minimum download speed of 50 Mbps and a minimum upload speed of 10 Mbps. If using shared internet, prioritizing the connection for work purposes is strongly recommended, with the preference for a dedicated connection solely for work-related tasks.

EEOC

Lakeview Household Insurance Solutions is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Qualifications:

The job requires regular sitting and use of hands for handling objects, tools, or controls, with frequent talking and listening in a moderately noisy environment. There will be occasional standing, walking, and reaching with hands and arms, with rare instances of stooping, kneeling, crouching, or crawling. Lifting and moving objects up to 10 pounds is a regular part of the role. Specific vision abilities such as close vision, color vision, and the ability to adjust focus are necessary.

Additionally, the employee must connect to the internet via a direct Ethernet connection, maintain a dedicated workspace to safeguard customer information, and have an internet connection with a minimum download speed of 50 Mbps and a minimum upload speed of 10 Mbps. If using shared internet, prioritizing the connection for work purposes is strongly recommended, with the preference for a dedicated connection solely for work-related tasks.

EEOC

Lakeview Household Insurance Solutions is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME