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Senior Analytics Engineer Jobs in Florida (NOW HIRING)

The Subway

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Partner with engineering and data teams on data quality, event mapping, and measurement design ... to senior stakeholders, including VP and executive audiences. * Shift customer analytics from ...

subway

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Partner with engineering and data teams on data quality, event mapping, and measurement design ... to senior stakeholders, including VP and executive audiences. * Shift customer analytics from ...

L3HHCM20

Senior Specialist, System Analysis

Jupiter, FL

$97K - $133K/yr

Senior Specialist Engineer, System Analysis & Engine Control Design Job ID: 41086 Job Location: West Palm Beach, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours ...

Analytics Solutions

Senior Software Engineer

Orlando, FL · On-site

$114K - $150K/yr

Senior Software Engineer Location: Glendale, CA 91201 OR Orlando, FL 32830 Duration: 6+ Months ... Analyze user stories, provide realistic estimations, and participate in sprint planning, scrums ...

New

CIRCOR International, Inc.

Senior Quality Engineer

Tampa, FL · On-site

$83K - $113K/yr

Sr Quality Engineer ORGANIZATIONAL STRUCTURE BUSINESS: Leslie Controls, Inc LOCATION: Tampa, FL ... Collect and analyze data to identify and prioritize opportunities for improvement of product and ...

Royal Caribbean Group

Senior Analyst, Data Modeling

Miami, FL · On-site

$82K - $103K/yr

The Royal Caribbean Group's Analytics Team has an exciting career opportunity for a full-time Senior Analyst, Data Modeling reporting to the Senior Manager, Data Solutions Engineering . This position ...

ECS

Military Analyst Senior

Orlando, FL · On-site

$100K - $110K/yr

Everforth ECS is seeking a Military Analyst Senior to work in the Orlando, Florida area. Salary ... The role collaborates closely with systems engineers, test engineers, combat arms advisors ...

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All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Florida

Senior Analytics Engineer information

See Florida salary details

$44.5K

$94.6K

$137.1K

How much do senior analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior analytics engineer in Florida is $94,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $107,200.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Florida? The most popular types of Analytics Engineer jobs in Florida are:
What are popular job titles related to Senior Analytics Engineer jobs in Florida? For Senior Analytics Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Florida look for? The top searched job categories for Senior Analytics Engineer jobs in Florida are:
What cities in Florida are hiring for Senior Analytics Engineer jobs? Cities in Florida with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in Florida as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,575 per year, or $45.5 per hour.

Sr. Analyst, Customer Analytics

The Subway

Miami, FL • On-site

$84K - $111K/yr

Full-time

Medical, Life, Retirement

Re-posted 23 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,048 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
Senior Analyst, Customer Analytics
Ready to build what's next with one of the world's most iconic brands?
Why Join Subway?
At Subway, we are not standing still. We are building.
This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.
You will not just do the work. You will shape it.
We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.
If you bring energy, accountability and a bias for action, you will fit right in.
We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.
This is your chance to be part of what's next.
About the Role:
The Senior Analyst, Customer Analytics drives customer and loyalty analytics across Subway's digital ecosystem. Partnering with product, marketing, loyalty, IT, and analytics, this role turns guest behavior, loyalty performance, and campaign outcomes into insights that lift acquisition, engagement, conversion, retention, and revenue.You will analyze behavior across digital touchpoints, measure loyalty and CRM effectiveness, build audience segments, and map KPIs across the customer journey. Strong SQL skills and experience with modern cloud platforms (Redshift, Snowflake, Databricks) and BI tools (Tableau, Power BI) are essential. This is a high-visibility, cross-functional role with regular exposure to VP- and executive-level leaders.
Responsibilities include but not limited to:
Customer and Loyalty Analytics
  • Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value.
  • Measure loyalty program performance: member growth, frequency, redemption, retention, and incremental impact.
  • Surface opportunities to improve conversion, repeat purchase, basket size, and engagement across digital touchpoints.
  • Build segment-level insights to power targeted marketing, product, and loyalty strategies. Partner with CRM analytics to ensure strategic alignment.
  • Run cohort, lifecycle, and behavioral segmentation analyses to identify key drivers of guest behavior.

Campaign, Offer, and Audience Measurement
  • Measure campaign, journey, and offer performance across owned and paid channels.
  • Identify high-value segments, engagement triggers, and personalization opportunities.
  • Evaluate offer mechanics, loyalty incentives, and promotional constructs.
  • Partner with loyalty and marketing on campaign effectiveness, reach, and downstream business impact.
  • Operationalize an audience-driven analytics agenda spanning messaging, segmentation, personalization, and CX.

KPI Mapping and Insight Generation
  • Build and refine KPI frameworks linking customer behavior to business outcomes across the guest journey.
  • Document customer, loyalty, product, and campaign KPIs for consistency, transparency, and actionability.
  • Translate complex datasets into clear narratives for product, marketing, loyalty, and leadership audiences.
  • Deliver dashboards, recurring reports, and executive-ready insights.
  • Support business cases, opportunity sizing, and impact modeling tied to customer and loyalty initiatives.

Data, Tools, and Technical Execution
  • Write complex SQL to extract, join, validate, and analyze customer and behavioral data.
  • Work across clickstream, profile, loyalty, campaign, transaction, and audience datasets.
  • Build scalable reporting in Tableau and Power BI.
  • Use Adobe Experience Platform (RTCDP, AJO, CJA) for audience, journey, and cross-channel insight generation.
  • Partner with engineering and data teams on data quality, event mapping, and measurement design.
  • Apply LLMs and AI-enabled workflows to speed insight generation, documentation, taxonomy, and KPI mapping.

Cross-Functional Partnership and Influence
  • Embed customer insights into product roadmaps, campaigns, and experience decisions.
  • Present findings and recommendations to senior stakeholders, including VP and executive audiences.
  • Shift customer analytics from reactive reporting to proactive, decision-driving insight.
  • Foster a culture of analytical rigor, experimentation, and business-minded storytelling.

Qualifications (some examples listed below):
Required
  • Bachelor's degree in analytics, statistics, economics, marketing, business, computer science, or a related field.
  • 5-7 years in customer, loyalty, CRM, or digital analytics.
  • Strong SQL with hands-on experience querying large datasets.
  • Experience with cloud data platforms such as Redshift, Snowflake, or Databricks.
  • Proficiency in Tableau and/or Power BI.
  • Proven work analyzing customer behavior, segmentation, lifecycle, loyalty, and campaign performance.
  • Solid grasp of KPI development and customer journey measurement.
  • Cross-functional experience with product, marketing, loyalty/CRM, and technology teams.
  • Strong communicator who translates analysis into business recommendations for senior stakeholders.

Preferred
  • Adobe Experience Platform (RTCDP, AJO, CJA).
  • Experimentation, personalization measurement, and audience-based decisioning.
  • CRM, lifecycle marketing, or loyalty program support.
  • Python, R, or similar analytical languages.
  • AI/LLM tools applied to analysis, workflow efficiency, or knowledge management.
  • QSR, retail, ecommerce, or other high-volume transactional environments.

What Success Looks Like
  • Customer and loyalty performance are measured with greater rigor and consistency.
  • Stakeholders gain clearer visibility into audience behavior, segment opportunity, and campaign impact.
  • Reporting shifts from backward-looking summaries to forward-looking, actionable insights.
  • Customer analytics becomes a stronger input into roadmap, loyalty, segmentation, and CX decisions.
  • Leadership sees a clear link between audience strategy, guest behavior, and business performance.

What do we offer?
  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More.....

Compensation: The base pay range for this role is $91,400 - $114,400 annually
Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

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