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Remote Data Analytics Consultant Jobs in Florida

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 Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned ...

Aston Carter

Remote Payroll Consultant

Miami, FL · On-site +1

$55 - $64/hr

Analyze, validate, and reconcile payroll data between legacy PeopleSoft and new Workday systems ... Previous consulting experience in payroll, HRIS, or enterprise systems implementation. * Ability to ...

Radiance Technologies

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

Milliman

Strategic Data Partnership Manager

Tampa, FL · Remote

... analytics and business transformation as well as a range of other consulting and technology ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze ...

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Remote Data Analytics Consultant information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Consultant, and why are they important?

To thrive as a Remote Data Analytics Consultant, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field such as statistics, computer science, or mathematics. Familiarity with tools like SQL, Python, R, Tableau, and cloud data platforms, as well as relevant certifications (e.g., Google Data Analytics Certificate), is highly beneficial. Strong problem-solving, communication, and self-management skills are essential for working independently and delivering actionable insights to clients. These skills and qualifications enable consultants to effectively interpret complex data and provide valuable solutions in a remote, client-focused environment.

What does a Remote Data Analytics Consultant do?

A Remote Data Analytics Consultant helps organizations analyze and interpret complex data to inform business decisions, working from a location outside the client's physical office. They use statistical tools, data visualization, and data modeling techniques to uncover patterns, trends, and insights. Their responsibilities often include data gathering, cleaning, analysis, and presenting findings to stakeholders in a clear and actionable way. Remote consultants collaborate with teams virtually, providing expertise on projects ranging from business intelligence to predictive analytics, and may also advise on data strategy and best practices.

How do Remote Data Analytics Consultants typically collaborate with clients and internal teams while working off-site?

Remote Data Analytics Consultants often use a combination of video conferencing, collaborative dashboards, and project management tools to maintain close communication with clients and internal stakeholders. Regular virtual meetings are standard for discussing project goals, progress updates, and data insights. Effective consultants proactively share findings, respond to questions in a timely manner, and ensure data security protocols are followed when exchanging sensitive information. This collaborative approach helps bridge the distance and fosters strong, productive relationships across distributed teams.

What is the difference between Remote Data Analytics Consultant vs Remote Data Analyst?

AspectRemote Data Analytics ConsultantRemote Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentConsulting projects, client sites, remote teams, often project-basedIn-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, tech companies, finance, healthcareCorporations, finance, healthcare, retail

The main difference is that a Remote Data Analytics Consultant typically works on client projects, providing strategic insights and recommendations, while a Remote Data Analyst focuses on analyzing data to support internal business decisions. Both roles require similar skills and certifications but differ in work scope and environment.

What are popular job titles related to Remote Data Analytics Consultant jobs in Florida? For Remote Data Analytics Consultant jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Consultant jobs in Florida look for? The top searched job categories for Remote Data Analytics Consultant jobs in Florida are:
What cities in Florida are hiring for Remote Data Analytics Consultant jobs? Cities in Florida with the most Remote Data Analytics Consultant job openings:
Remote Data Analytics Consultant jobs near you

Lead Data Architect

Data Meaning

Boca Raton, FL • On-site, Remote

$190/hr

Full-time

Posted 6 days ago

Job description

Lead Data Architect
Location: Remote, US based
Position type: Full Time Employee
Compensation: $190.000 (base + bonus)
Job Summary
Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.
Position Summary
The Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client's data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.
The position will work closely with the client's engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.
Key Responsibilities:
  • Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)
  • Design the future-state data platform architecture following modern ELT and dbt best practices
  • Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality
  • Lead the migration of transformation logic into dbt models
  • Define architectural patterns for: staging layers, intermediate layers, data marts
  • Implement automated testing frameworks within dbt
  • Lead discovery sessions and technical workshops with the client's data engineering teams
  • Document architecture, pipelines, and operational processes
  • Conduct architecture walkthrough sessions during knowledge transfer phases
  • Define standards for CI/CD, monitoring frameworks, and data quality validation
  • Establish schema management and governance best practices
  • Optimize Snowflake compute usage and platform performance
  • Design scalable orchestration strategies for Airflow pipelines
  • Improve platform reliability, monitoring, and operational observability

Required Skills & Qualifications:
  • Advanced / fluent English
  • 10+ years of experience in Data Engineering or Data Architecture
  • Strong experience designing and implementing modern data platforms
  • Expert-level experience with Snowflake
  • Strong experience implementing dbt transformation frameworks
  • Advanced SQL modeling and performance optimization
  • Strong experience with Apache Airflow orchestration
  • Strong Python programming skills
  • Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines
  • Experience working in cloud environments (AWS preferred)

Nice to Have
  • Snowflake certification
  • Experience leading data platform migrations or modernization initiatives
  • Experience implementing Medallion architecture patterns
  • Experience defining data governance frameworks
  • Experience working with distributed or global engineering teams

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