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Data Optimization Analyst Jobs in Florida (NOW HIRING)

Data Warehouse Analyst Contract: 9-Months Location: Tallahassee, Florida (5 days, onsite) This ... Develop advanced DAX calculations and optimized SQL queries to support high-performance analytics ...

Proficient in Snowflake tuning, clustering keys, compute optimization, and cost control ... analytical queries) to retrieve and prepare Snowflake data for reporting. * Collaborate with ...

Data Warehouse Analyst

Tallahassee, FL ยท On-site

$50 - $55/hr

... optimization. 4. Strong understanding of star schema design and fact/dimension modeling. 5. ... Scope of Services The Data Warehouse Analyst / Report Builder will develop and optimize Power BI ...

New

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

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Data Optimization Analyst information

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.

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 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.

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 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:

Infographic showing various Data Optimization Analyst job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Warehouse Analyst

Defined Software Development

Tallahassee, FL โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Warehouse Analyst / Power BI Developer

Location: Tallahassee, FL (Onsite)
Job Type: Contract
Experience Level: Intermediate/Senior

Job Summary

We are seeking an experienced Data Warehouse Analyst / Power BI Developer to develop and optimize enterprise analytics solutions using Microsoft Power BI and Snowflake. This role involves building semantic models, dashboards, and analytical reports; developing advanced DAX and SQL; optimizing data warehouse performance; and collaborating with data engineers and business stakeholders to deliver reliable, scalable, and actionable business intelligence solutions.

Responsibilities
  • Design and develop Power BI semantic models and dataflows using dimensional modeling and star schema principles.
  • Build advanced DAX measures and analytical logic for enterprise reporting.
  • Create intuitive, high-performance Power BI dashboards and reports based on business requirements.
  • Develop paginated reports using Power BI Report Builder.
  • Write and optimize complex SQL queries, including CTEs, window functions, and analytical queries.
  • Prepare and optimize Snowflake datasets for Power BI consumption.
  • Collaborate with data engineering teams to ensure fact and dimension tables are properly structured and optimized.
  • Integrate Power BI with Snowflake using appropriate connection modes while maintaining performance and data reliability.
  • Monitor and troubleshoot performance issues across Power BI, DAX, SQL, and Snowflake environments.
  • Support Snowflake performance tuning, compute optimization, clustering, and cost management.
  • Apply Snowflake security concepts, including roles and role-based access control (RBAC).
  • Document metadata, data lineage, report specifications, and analytical assets.
  • Translate business requirements into structured data models and actionable reports.
  • Support Power BI workspace management and report optimization.
  • Collaborate with business stakeholders, subject matter experts, and technical teams to deliver enterprise reporting solutions.
  • Support continuous improvement of analytics, reporting, and data warehouse processes.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, or a related field (or equivalent professional experience).
  • Minimum 5 years of IT experience working with business intelligence tools and systems.
  • 3โ€“5 years of hands-on experience developing enterprise-level Power BI reports, dashboards, and data models.
  • Advanced Power BI experience, including DAX, data modeling, Power Query, and report design.
  • Strong SQL skills, including CTEs, window functions, analytical queries, and query optimization.
  • Strong understanding of dimensional modeling, star schemas, and fact/dimension design.
  • Hands-on experience with Snowflake performance tuning and optimization.
  • Experience developing Power BI semantic models using dimensional design principles.
  • Experience integrating Power BI with Snowflake.
  • Experience with Power BI Report Builder and workspace management.
  • Experience with metadata management, data lineage, and technical documentation.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Power BI embedded analytics.
  • Experience embedding Power BI reports into web or internal applications.
  • Experience with Snowflake RBAC, warehouse sizing, clustering keys, and cost optimization.
  • Knowledge of CI/CD practices for Power BI.
  • Experience with version control for analytics solutions.
  • Experience supporting enterprise data warehouse environments.
  • Ability to work independently with minimal supervision while collaborating effectively with data engineers, SMEs, and business stakeholders.
Work Environment
  • Full-time contract
  • 100% onsite in Tallahassee, Florida
  • Primarily standard business hours, with flexibility to support business needs when required.

Direct applicants only. No third-party vendor or staffing firm submissions will be considered.