2

Remote Data Analytics Project Manager Jobs in Florida

Remote, US Only About The Company: MustardSeed PMO designs and delivers project management ... Track project performance, specifically to analyze the successful completion of short and long-term ...

Data Analyst

Orlando, FL · Remote

$89.50K - $127.19K/yr

Demonstrated ability to manage priorities and work independently in a remote environment. * Strong ... Experience using Jira or similar project tracking tools. * Experience improving reporting ...

Project Manager

Orlando, FL · On-site +1

$80K - $120K/yr

... Remote / Hybrid U.S. Based Healthcare Technology About Andor Health Andor Health delivers ... Preferred Qualifications • Basic understanding of healthcare data flows, interoperability ...

... Remote / Hybrid U.S. Based Healthcare Technology About Andor Health Andor Health delivers ... Preferred Qualifications • Basic understanding of healthcare data flows, interoperability ...

Hybrid - Orlando, Florida, US or Remote, US Responsibilities Customer Implementation & Project ... Strong analytical mindset with experience in tracking and interpreting key performance indicators ...

This role is fully remote but requires frequent regional travel, with candidates ideally located in ... Analyze hard and soft cost budgets * Monitor contingencies and project funding adequacy * Evaluate ...

You will have the opportunity to do your best work with the flexibility of hybrid or remote work ... Review project survey data utilizing the latest technology and industry software. * Analyze ...

Supports root cause analysis and continuous improvement by identifying and resolving recurring ... Familiarity with data workflows and document review processes. Key Skills: * Project Leadership

Enjoy a fully remote position with flexible working hours. * Be part of a world-class team ... Manage marketing projects from start to finish * Oversee funnel building and automation setup

Can work remote out of S. Florida with occasional visits to Miami Lakes office. Your ... Gather, analyze, and interpret technical data. * Prepare environmental technical reports. * Mentor ...

next page

Showing results 1-20

Remote Data Analytics Project Manager information

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

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

How do Remote Data Analytics Project Managers effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

What is a Remote Data Analytics Project Manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

What is the difference between Remote Data Analytics Project Manager vs Data Analyst?

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What are popular job titles related to Remote Data Analytics Project Manager jobs in Florida? For Remote Data Analytics Project Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Project Manager jobs in Florida look for? The top searched job categories for Remote Data Analytics Project Manager jobs in Florida are:
What cities in Florida are hiring for Remote Data Analytics Project Manager jobs? Cities in Florida with the most Remote Data Analytics Project Manager job openings:
Infographic showing various Remote Data Analytics Project Manager job openings in Florida as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution.
Principal Data Analytics Engineer

Principal Data Analytics Engineer

Tower Hill Insurance Group LLC

Gainesville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Type
Full-time
Description
Tower Hill Insurance Group has an exciting opportunity for a talented Principal Data Analytics Engineer who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.
The Principal Data Analytics Engineer is a hands-on technical leader responsible for owning and delivering complex data engineering projects end-to-end, from business requirements gathering through production deployment. This role combines individual technical contribution with team leadership, including directing data engineers on project execution, representing the team in business stakeholder meetings, and ensuring clear communication of technical outcomes to non-technical audiences. This position collaborates closely with the Data Engineering/AI/ML Leader across the analytics stack including pipeline orchestration, cloud-native development, and API-driven data services, while taking ownership of project planning, task breakdown, and delivery coordination across engineering teams.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Own the full project lifecycle for data engineering initiatives: gather requirements from business stakeholders, define scope and success criteria, decompose work into tasks, assign and track execution across the data engineering team, and deliver completed solutions to production.
  • Train data engineers on project execution, including task assignment, technical guidance, code review, backlog prioritization, and unblocking technical impediments to maintain delivery velocity.
  • Represent the data engineering team in business meetings, clearly communicating project status, technical constraints, timelines, and trade-offs to non-technical stakeholders and leadership.
  • Conduct technical design reviews and establish engineering standards that the data engineering team follows across projects.
  • Serve as the primary technical liaison between business partners and engineering teams, translating business requirements into well-scoped, executable data initiatives with clear outcomes.
  • Architect and develop cloud-native data solutions on AWS, including the design and deployment of data pipelines using AWS Glue, Airflow (Amazon MWAA), Step Functions, Lambda, and related services.
  • Lead the migration and modernization of existing data workflows, including the conversion of RPA-based automation into cloud-native orchestration solutions using AWS Airflow.
  • Design, develop, and deploy RESTful and authenticated APIs on Kubernetes (K8s) to expose data services and other reusable data products consumed by downstream systems.
  • Oversee and contribute to infrastructure-as-code practices using Terraform, ensuring analytics and data engineering workloads are provisioned, managed, and repeatable across environments.
  • Establish and enforce data pipeline best practices including data quality checks, lineage tracking, and governance standards across all projects under this role's scope.
  • Monitor, observe, and maintain production data systems and pipelines, using tools such as CloudWatch, DataDog, or Grafana as applicable
  • Conduct exploratory and operational data analysis to surface deficiencies, validate pipeline outputs, and support data-driven decision making for business stakeholders.
  • Define and communicate data architecture standards and patterns to both technical and non-technical audiences, including documentation of architectural decisions and pipeline design.
  • Collaborate on cross-cutting concerns such as data security, infrastructure alignment, and platform strategy.
  • Coordinate with DevOps and infrastructure teams to ensure that data engineering deliverables align with CI/CD pipelines, containerization standards, and broader organizational engineering practices.

ADDITIONAL DUTIES
This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.
Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION
High School Diploma or GED required. Bachelor's Degree in Computer Science or related field preferred.
EXPERIENCE
Minimum of seven (7) to ten (10) years of relevant work experience required in data engineering, analytics, or automation required, including the following:
  • Minimum of two (2) years of experience as a technical lead or team lead, including work assignment, technical mentoring, and providing input on team performance and development.
  • Track record of owning full project lifecycles from business requirement through production deployment, delivered through a team rather than solely as an individual contributor, including managing scope, timelines, and cross-functional dependencies.
  • Proven ability to engage directly with business stakeholders to gather requirements, scope data projects, run status meetings, and communicate technical outcomes in accessible, non-technical terms.
  • Advanced Python programming skills for data engineering, automation, and analytics including: data manipulation (pandas, polars), AWS SDK integration (boto3), database connectivity (SQLAlchemy, psycopg2), workflow orchestration (Apache Airflow providers), API development (FastAPI), data validation (Pydantic, Great Expectations), testing frameworks, and async programming for high-performance applications.
  • Deep expertise with Apache Airflow and AWS Managed Workflows for Apache Airflow (MWAA), including DAG development, scheduling strategies, and operational best practices.
  • Strong proficiency with AWS data services including Glue (ETL, Data Catalog, Crawlers), S3, Athena, Lambda, Step Functions, and EventBridge,

The following work experience is highly preferred:
  • Experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
  • Working knowledge of containerization (Docker) and orchestration (ECS, Kubernetes) for data workloads.
  • Experience implementing security frameworks and best practices for API development including authentication/authorization (OAuth 2.0, JWT, SAML), API gateway security, secrets management (AWS Secrets Manager, Vault), encryption (TLS/SSL, at-rest encryption), rate limiting, and compliance with standards (OWASP API Security Top 10, SOC 2).
  • Experience with Microsoft Power Platform, specifically Power Automate (including Desktop flows for UI automation) and Power Apps or RPA platforms such as UiPath.
  • Experience with real-time data streaming platforms such as Kinesis, Kafka, or Flink.

CERTIFICATIONS
AWS Certified Solutions Architect Professional and/or AWS Data Analytics - Specialty preferred.
LICENSES
N/A
* Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV.
Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.
Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience.
BENEFITS
  • Medical
  • Dental
  • Vision
  • Life & Disability Insurance
  • 401(k)
  • Health Savings Account
  • Accident, Critical Illness and Hospital Indemnity
  • Pet insurance
  • Paid time off & Holiday pay

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit: Total Compensation - Tower Hill Insurance (thig.com)
Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.
All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.