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Remote Analytics Engineer Jobs in Miami, FL (NOW HIRING)

Remote Job Overview We are seeking experienced Civil Engineers to contribute to a high-impact ... Technical Analysis * Engineering Documentation * Data Validation Preferred Qualifications * 5+ ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Analyze, review, and improve AI-generated software engineering content for technical accuracy and ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

GPU Programmer - Remote

Miami, FL · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

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Remote Analytics Engineer information

See Miami, FL salary details

$43.5K

$89.1K

$129.6K

How much do remote analytics engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote analytics engineer in Miami, FL is $89,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $112,900.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What are the most commonly searched types of Analytics Engineer jobs in Miami, FL?

The most popular types of Analytics Engineer jobs in Miami, FL are:

What are popular job titles related to Remote Analytics Engineer jobs in Miami, FL?

For Remote Analytics Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Miami, FL look for?

The top searched job categories for Remote Analytics Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Analytics Engineer jobs?

Cities near Miami, FL with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,121 per year, or $42.8 per hour.

Data Analytics Engineer

Lakeview Loan Servicing

Coral Gables, FL • Remote

$118K - $130K/yr

Full-time

Posted 3 days ago

New


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