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Data Optimization Analyst Jobs in Florida (NOW HIRING)

... strong data analysis capabilities.Project Management & Collaboration: Exceptional attention to ... Large-Scale Local SEO: Proven experience managing large local-search footprints and Google Business ...

SEO Manager (48775)

Boynton Beach, FL · On-site

$80K - $105K/yr

Analyze and help troubleshoot Core Web Vitals and page‑performance problems. * Identify technical ... Test and validate structured data/schema implementation. * Monitor website releases to identify ...

Data Warehouse Analyst Location: Tallahassee, FL Engagement Type: Contract / Staff Augmentation ... Advanced proficiency in SQL query writing, optimization, CTEs, and window functions. * Strong ...

Must have strong SEO and data analysis background. * Direct experience with enterprise SEO platforms. * Excellent collaboration and team building skills. * Demonstrates time management and priority ...

New

As a Data Analyst at North Florida Pediatrics within the Health Care industry, you responsible for reporting, compiling and organizing healthcare data, analyzing data to assist in delivering optimal ...

As a Data Analyst at North Florida Pediatrics within the Health Care industry, you r esponsible for reporting, compiling and organizing healthcare data, analyzing data to assist in delivering optimal ...

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Data Optimization Analyst information

What is a data optimization analyst?

Data Optimization Analysts are professionals who specialize in improving the efficiency and effectiveness of data processes within an organization. Their work involves analyzing large datasets, identifying areas for improvement, and implementing strategies to optimize data collection, storage, and usage. They use statistical tools and data modeling techniques to ensure data quality and support better decision-making. Data Optimization Analysts often collaborate with data engineers, business analysts, and IT teams to streamline workflows and maximize the value derived from data assets.

What are the key skills and qualifications needed to thrive as a data optimization analyst?

To thrive as a Data Optimization Analyst, you need strong analytical abilities, expertise in data modeling, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Python, R, and optimization platforms like Tableau or Power BI, as well as certifications in data analytics, are commonly required. Exceptional problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies are crucial for transforming complex data into actionable business insights and driving process improvements.

How does a data optimization analyst typically collaborate with other departments to improve business outcomes?

A Data Optimization Analyst regularly works cross-functionally with teams such as marketing, operations, and IT to identify inefficiencies and recommend data-driven solutions. They gather requirements from stakeholders, analyze complex datasets, and present actionable insights that align with business goals. Effective communication and teamwork are essential, as analysts often need to translate technical findings into practical recommendations for non-technical colleagues. This collaborative approach ensures that data initiatives drive measurable improvements across different areas of the organization.

What is the difference between Data Optimization Analyst vs Data Analyst?

AspectData Optimization AnalystData Analyst
Primary FocusImproving data processes and optimizing data workflows for better efficiencyAnalyzing data to identify trends and generate reports
Skills & CertificationsData management, SQL, data modeling, problem-solvingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, business unitsBusiness, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, retailAlmost all industries including marketing, finance, healthcare

While both roles involve working with data, Data Optimization Analysts focus on enhancing data processes and workflows to improve efficiency, whereas Data Analysts primarily interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Data Optimization Analyst jobs in Florida?

For Data Optimization Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Optimization Analyst jobs in Florida look for?

The top searched job categories for Data Optimization Analyst jobs in Florida are:

Infographic showing various Data Optimization Analyst job openings in Florida as of September 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Global Workforce Optimization Data Architecture Lead Analyst Vice President

Jacksonville, FL • On-site

Citigroup, Inc.
Banking and Credit Intermediation • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz


Job description

About Citi:
Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. A critical enabler of Citi's mission to enable growth and economic progress is technology. Our teams are creating innovations used across the globe - we're changing the way people bank and how the world does business.
Who We Are:
Citi's Global Workforce Optimization (GWFO) is an organization within Citi's Chief Operating Office and Enterprise Operations. Our organization designs solutions providing transparency & visibility of the current state; and functions to leverage enterprise solutions to drive improved process & workforce optimization; and supports the evolution of the organization via continuous improvement & simplification.
Our GWFO mission is to partner with Citi businesses globally to improve customer experience, increase revenue, achieve service objectives, and maximize efficiency. GWFO support includes workforce management related activities, including capacity planning, analytics, and supplier tools support. Across the Citi Enterprise, we strive to:
  • Drive workforce strategy and provide insights across capacity planning and supported applications to optimize people and processes
  • Enable discipline, create consistency, and vigorously improve processes
  • Deliver & optimize applications and tools in real-time while driving control rigor
  • Serve as a trusted partner and subject matter expert supporting key strategic work

About the Role:
The Global Workforce Optimization (GWFO) Data Architecture Senior Analyst is a seasoned, data-savvy specialist who serves as the in-house data Subject Matter Expert (SME). In this role, you will partner directly with internal "clients" to translate data needs into scalable data pipelines, integrations, governance-aligned datasets, and repeatable onboarding patterns. You will lead and deliver high-impact data initiatives that improve data maturity, simplify data onboarding, and accelerate "speed-to-market" data outcomes. The ideal candidate should possess a strong technical data foundation, comfortable with ambiguity with thinking outside the box mentality and have a passion for problem solving complex data needs into strategic solutions. This function covers incumbents responsible for various data activities, which include subject matter expertise in the latest data concepts, database architecture / design engineering, and ability to translate highly complex data technical specifications from clients into well designed data integration outcomes.
Responsibilities:
Client Partnership & Data Onboarding
  • Partner with internal clients to capture data needs, define onboarding approach, and integrate data into the GWFO product suite
  • Own end-to-end data onboarding delivery: intake, requirements, mapping, integration design, build, validation, and release
  • Establish repeatable onboarding data playbooks and templates that simplify GWFO data maturity and reduce time-to-value.
  • Manage relationships with key stakeholders across the organization, including the day-to-day execution of activities and meetings
  • Leads larger projects with broader impact. Interacts and onboard new clients, partners with existing clients, and focused on integrating client data into our product suite for workforce solutions
  • Liaises with multiple data teams/departments, technology partners, and serves as subject matter for planning and analysis of project deliverables and processes for data initiatives

Data Enablement and Strategic Solutioning
  • Partner with technology and data teams to design and implement scalable data flows and integration patterns across platforms to support workforce solutions
  • Reduce manual data consumption through automation, self-service enablement, and resilient engineering solutions in conjunction with technology
  • Translate complex data problem statements into actionable designs (source-to-target mappings, data models, and integration specifications)
  • Improve data effectiveness by implementing pragmatic checks and standards that increase trust, reuse, and scalability
  • Lead data tooling and evaluations to optimize onboarding, metadata discovery, data access, and quality needs (e.g., data catalogs, Snowflake, data quality rules, cloud solutions, semantic Layers, medallion architecture)
  • Define hypotheses, success criteria, and scale recommendations; communicate outcomes and adoption paths to stakeholders
  • Examine enterprise data frameworks to identify opportunities that simplify onboarding and accelerate GWFO data maturity aligned to Citi strategic roadmaps

Qualifications:
  • 6+ years of demonstrated experience in data engineering, architecture, or related field with a history of successfully delivering complex projects
  • 5+ years of experience in data frameworks, data pipeline and data modeling, cloud or relationship database concepts, building data roadmaps and strategies, and providing executives with strategic outcomes and updates
  • Prior experience in banking industry or financial services sector is highly desirable
  • BS in Computer Science, Finance, Engineering, Math preferred
  • Experience in analyzing and defining data structures and architecture
  • Experience with databases and coding languages (SQL, SAS, Python, R, etc.)
  • Experience with emerging data trends and technologies, including semantic layers, medallion data architecture, and scalable data frameworks
  • Strong understanding of Enterprise Data Architecture frameworks and methodologies
  • Ability to interact with all levels, including senior management, as a business partner with good verbal and written skills
  • Ability to work independently in a fast-paced environment, to be able to prioritize work, set goals and complete work by designated deadlines
  • Ability to build alliances, influence and negotiate to drive decisions; Positions oneself to be a partner to drive results along with key stakeholders and decision makers. Provide input/recommendations to the respective budget and financial impacts to the organization

Education:
  • Bachelor's/University degree or equivalent experience, Master's degree preferred

Job Family Group:
Operations - Core
Job Family:
Business Planning & Analysis
Time Type:
Full time
Primary Location:
Jacksonville Florida United States
Primary Location Full Time Salary Range:
$93,440.00 - $140,160.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 21, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US