Analytics Engineer Jobs in Florida
Analytics Engineer jobs in Florida are in strong demand, with active hiring concentrated in financial services, healthcare technology, and logistics across the full range from entry-level to senior individual contributor and team lead. Miami, Tampa, and Orlando are the largest hiring markets, home to established employers like Chewy, Raymond James, and AdventHealth that consistently recruit analytics engineers. The most sought-after specialties in Florida listings are dbt and data pipeline development, cloud data warehouse modeling in Snowflake or BigQuery, and healthcare data integration. Find a role that fits below and apply directly.
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Job Description:
Our Opportunity:
At Chewy, the Finance and Accounting Business Intelligence team builds trusted reporting and analytics solutions that help our partners make faster, data-backed decisions. We are seeking an experienced Analytics Engineer to design, develop, and maintain dashboards, data products, and analytical workflows that support financial reporting, planning, and operational decision-making.
This team serves a broad audience across Finance, Accounting, Treasury, Tax, and other business functions. In this role, you will partner directly with users to understand requirements, translate complex questions into scalable solutions, and deliver clear, reliable reporting. Your work will span report development, data modeling, pipeline support, automation, and analysis using tools such as Tableau, Sigma, SQL, Python, and cloud data platforms.
The ideal candidate combines strong technical and analytical skills with curiosity, ownership, and clear communication. This opportunity is well suited for someone who is passionate about data, comfortable in a fast-paced environment, and motivated to improve how Chewy turns financial and operational data into trusted insights.
What You'll Do:
- Own the design, development, testing, and maintenance of dashboards, reports, and analytical content that support critical Finance and Accounting decisions.
- Partner with business and technical teams to gather requirements, define metrics, and translate user needs into scalable, high-quality BI solutions.
- Design and maintain semantic views that provide trusted business context, standardized metrics, and governed data for AI agent consumption.
- Develop self-service reporting and visualizations in Tableau, Sigma, or similar tools, with a focus on usability, performance, and trusted data.
- Build and support SQL transformations, data models, pipelines, and API-driven integrations that deliver accurate and timely analytical datasets.
- Champion reporting and analysis best practices, including data integrity, test design, validation, documentation, and change management.
- Provide leadership and business partners with recurring and ad hoc analyses that clearly communicate findings, trends, risks, and opportunities.
- Identify automation opportunities using Python, AWS, AI, or other technologies to simplify workflows and reduce manual effort.
- Investigate data discrepancies and reporting issues, coordinate resolution across teams, and communicate impacts and next steps to stakeholders.
- Continuously improve reporting, data products, and development processes to increase the quality, accessibility, and value of Chewy's data.
What You'll Need:
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in business intelligence engineering, analytics engineering, report development, or a related data discipline.
- Strong SQL skills, including complex transformations and experience working with columnar or cloud-based data warehouses.
- Hands-on experience developing dashboards and reporting solutions in Tableau or a similar BI and visualization tool.
- Working knowledge of Python and experience supporting data pipelines, APIs, automation scripts, or analytical workflows.
- Ability to acquire data from multiple sources, maintain reusable data structures, and validate datasets for analytical use.
- Excellent written and verbal communication skills, including the ability to present findings to subject matter experts and executive leadership.
- Comfort with self-directed learning, changing priorities, and taking ownership in a fast-paced and collaborative environment.
Bonus:
- Experience with AWS, Snowflake, and/or Sigma.
- Experience supporting Finance and Accounting analytics or reporting.
- Familiarity with dbt, dimensional data modeling, or automated testing.
- A strong ownership mentality and continuous-improvement mindset.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
See All 11 Analytics Engineer Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Florida
Where Florida roles are concentrated, by current openings.
Analytics Engineer Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Construction & Real Estate
- Energy
What Florida Employers Look For
The qualifications that appear most often in analytics engineer jobs across Florida.
- Bachelor's degree in computer science, statistics, information systems, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or R
- Hands-on experience with dbt for data transformation and pipeline development
- Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift
- Ability to translate business requirements into reliable, well-documented data models
- Familiarity with version control using Git and collaborative development workflows
Analytics Engineer Jobs in Florida: Frequently Asked Questions
How do you become an analytics engineer in Florida?
Most analytics engineers in Florida enter the field with a bachelor's degree in computer science, statistics, mathematics, or a related field, then build practical skills in SQL, Python, and data modeling tools like dbt. There is no state-issued license required to work as an analytics engineer in Florida. Employers in Miami, Tampa, and Orlando typically expect hands-on project experience, which candidates often build through university programs, bootcamps, or open-source portfolio work before applying.
How much do analytics engineers make in Florida?
Analytics engineers in Florida earn a median of about $115,820 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,080 for the lowest 10% to over $174,140 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Florida?
Employers hiring analytics engineers in Florida right now include Emed, Chewy, and Gopuff, based on current listings on Migrate Mate as of September 2026. Florida's concentration of financial services firms, health systems, and e-commerce operations means openings appear consistently across multiple industries rather than clustering in a single sector.
Which Florida cities have the most analytics engineer jobs?
Miami, Tampa, and Orlando have the most analytics engineer openings in Florida. Miami leads because of its density of fintech companies and multinational headquarters, while Tampa and Orlando generate consistent demand through large health systems, insurance carriers, and regional technology operations that run substantial data infrastructure teams.
Are there remote analytics engineer jobs in Florida?
Yes, and more than most fields. Analytics engineering is primarily a desk-based, software-driven role, which makes it well-suited to distributed work arrangements. About 33% of analytics engineer openings tied to Florida are remote or hybrid as of September 2026, reflecting how broadly Florida employers have adopted flexible models for data roles. The portions of the work most commonly done remotely are data modeling, pipeline development, and stakeholder reporting.
How can I get hired as an analytics engineer in Florida with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role at a Florida employer, since that background maps directly to what analytics engineers do. Large Florida health systems like AdventHealth and Florida Blue, as well as technology operations in Tampa and Miami, regularly hire junior data professionals and develop them into analytics engineering roles. Building a public portfolio of dbt projects and SQL data models demonstrates capability to hiring managers when formal experience is limited. Earning a cloud platform certification in Snowflake or Google Cloud also gives early-career candidates a concrete credential that appears repeatedly in Florida job postings.
Where can I find and apply to analytics engineer jobs in Florida?
You can find and apply to analytics engineer jobs in Florida on Migrate Mate, which lists current Florida openings from employers actively hiring. Find roles that fit your experience and location preferences and apply directly to the ones that match.
See All 11 Analytics Engineer Jobs in Florida
Find roles in Florida that match your experience and apply in just a few clicks.
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