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Data Warehousing Manager Jobs in Florida (NOW HIRING)

What You'll Do Our Data Warehouse Engineer will be part of a team that will manage the operations and analytics of the product data warehouse at Kalera. The Data Warehouse Engineer role is to develop ...

Description What You'll Do Our Data Warehouse Engineer will be part of a team that will manage the operations and analytics of the product data warehouse at Kalera. The Data Warehouse Engineer role ...

Required : • IT work experience utilizing data management tools, business intelligence tools, and data warehousing (7+ years). • Data Integration and Data Warehousing experience with Informatica ...

Minimum 7 years of IT experience with data management, data warehousing, and business intelligence solutions. * Strong hands-on experience with Snowflake Data Cloud and Informatica IICS Cloud Data ...

Manager Data Engineering

Miami, FL · On-site

$120 - $150/hr

Lead the development and maintenance of data warehousing solutions. * Manage legacy integrations and data application enhancements. * Experience with SaaS based solutions and hands on experience on ...

... Warehousing and Data Integration. * 4 Years experience designing, developing, and supporting ETL/ELT pipelines using Informatica Intelligent Data Management Cloud (IDMC) and Informatica on-prem ...

Data Warehousing and Legacy System Management: Lead the development and maintenance of data warehousing solutions. Manage legacy integrations and data application enhancements. * Experience with SaaS ...

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Data Warehousing Manager information

See Florida salary details

$8

$34

$63

How much do data warehousing manager jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data warehousing manager in Florida is $34.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.15 and $46.72 per hour, depending on experience, location, and employer.

What is a data warehousing manager?

Data Warehousing Managers are professionals responsible for overseeing the design, implementation, and maintenance of data warehouse systems within an organization. They lead teams that collect, store, and manage large volumes of data from various sources to support business analytics, reporting, and decision-making. Their role often includes ensuring data integrity, optimizing system performance, and coordinating with stakeholders to meet business requirements. Data Warehousing Managers also stay updated on new technologies and best practices to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data warehousing manager?

To thrive as a Data Warehousing Manager, you need expertise in database management, ETL processes, data modeling, and a relevant degree in computer science or information systems. Familiarity with data warehousing platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as proficiency in tools such as Informatica and SQL, is typically required. Strong leadership, project management, and communication skills help in coordinating teams and aligning data strategies with business goals. These skills ensure optimal data storage, accessibility, and integrity, which are crucial for informed decision-making and organizational success.

What are some common challenges faced by data warehousing managers when working with cross-functional teams?

Data Warehousing Managers often collaborate with IT, business analysts, and data scientists to ensure that warehouse solutions meet organizational needs. One common challenge is aligning data requirements across departments, as different teams may have conflicting priorities or use inconsistent data definitions. Effective communication and strong project management skills are crucial to bridging these gaps and delivering solutions that are both technically sound and aligned with business goals. Additionally, managing expectations around data quality, integration timelines, and system performance can be demanding, but proactive stakeholder engagement and clear documentation can help mitigate these issues.

What is the difference between Data Warehousing Manager vs Data Analyst?

AspectData Warehousing ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; often certifications in data warehousing or database managementBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentOversees data warehouse teams, manages infrastructure, and ensures data integrity in enterprise settingsAnalyzes data sets, creates reports, and provides insights primarily using analytical tools
Employer & Industry UsageUsed in large corporations, finance, healthcare, and retail for managing large-scale data systemsCommon across industries for business intelligence, marketing, and operations analysis

The Data Warehousing Manager focuses on overseeing data storage systems, infrastructure, and team management, ensuring data is accessible and reliable. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. Both roles require strong technical skills but differ in scope and responsibilities.

Is data warehousing a good career?

Data warehousing managers oversee the design, implementation, and maintenance of data storage systems that support business intelligence and analytics. The role requires strong technical skills in database management, SQL, and data modeling, and offers opportunities in various industries with competitive salaries and growth potential. It is considered a stable and in-demand career path for those with expertise in data management and related tools.

What cities in Florida are hiring for Data Warehousing Manager jobs?

Cities in Florida with the most Data Warehousing Manager job openings:

Infographic showing various Data Warehousing Manager job openings in Florida as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $71,241 per year, or $34.3 per hour.

Data Warehousing Analyst (Healthcare)

CIYIS

Tallahassee, FL • On-site

Full-time

Posted 2 days ago

New


Job description

Data Warehouse Analyst (Healthcare Analytics)
Location
Tallahassee, FL (Hybrid)
Employment Type
Full-Time / Contract
About CIYIS
CIYIS is a management consulting, technology, and engineering services firm that helps government, healthcare, and critical infrastructure organizations modernize operations, improve decision-making, and leverage data-driven solutions. We combine deep business expertise with advanced analytics, digital transformation, and technology modernization capabilities to solve complex organizational challenges.
Position Overview
CIYIS is seeking an experienced Data Warehouse Analyst to support healthcare analytics, business intelligence, reporting, and data-driven decision making initiatives. The successful candidate will work with large, complex healthcare datasets to develop insights, identify trends and anomalies, support program integrity initiatives, and deliver actionable business intelligence solutions.
This role requires strong analytical and technical skills with the ability to communicate findings effectively to technical and non-technical stakeholders. The ideal candidate has experience working with healthcare claims, provider, eligibility, or encounter data and is comfortable operating in highly regulated environments involving Protected Health Information (PHI).
Key Responsibilities
  • Analyze large healthcare datasets including claims, provider, encounter, eligibility, and operational data.
  • Identify trends, anomalies, risks, and opportunities through advanced analytical techniques.
  • Design, develop, and maintain dashboards, reports, and business intelligence solutions.
  • Develop and optimize SQL queries, datasets, data models, and reporting solutions.
  • Collaborate with business stakeholders to gather requirements and translate analytical needs into technical solutions.
  • Develop and validate data extracts that support operational reporting, regulatory reporting, and performance measurement activities.
  • Create technical documentation, data dictionaries, reporting methodologies, and process documentation.
  • Support data quality initiatives and ensure accuracy and integrity of data assets.
  • Present analytical findings and recommendations to business leaders and stakeholders.
  • Participate in special projects involving predictive analytics, machine learning, fraud detection, and performance improvement initiatives.
  • Support data governance, security, privacy, and compliance requirements.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Mathematics, Analytics, or a related field.
  • Minimum of 5 years of experience in data analytics, business intelligence, data warehousing, or reporting.
  • Strong SQL experience, including complex query development and performance optimization.
  • Experience using SAS, Python, or comparable analytical tools.
  • Experience developing dashboards and reports using Tableau, Power BI, SSRS, or similar visualization platforms.
  • Strong understanding of data warehousing concepts and analytical methodologies.
  • Exceptional analytical, problem-solving, and critical thinking skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate complex technical information to non-technical audiences.
  • Ability to work independently and collaboratively in team environments.
Preferred Qualifications
  • Healthcare, Medicaid, Medicare, payer, or health services analytics experience.
  • Experience with healthcare claims, provider, eligibility, encounter, or population health data.
  • Experience supporting fraud, waste, abuse, compliance, or program integrity initiatives.
  • Experience working with government healthcare programs or public sector organizations.
  • Experience with cloud platforms such as Microsoft Azure or AWS.
  • Experience with machine learning, predictive analytics, statistical modeling, or risk stratification methodologies.
  • Knowledge of HIPAA, healthcare data governance, and regulatory reporting requirements.
  • Experience with data extraction, transformation, and loading (ETL) processes.
Desired Technical Skills
  • SQL Server
  • SQL
  • SAS
  • Python
  • Tableau
  • Power BI
  • SSRS
  • Azure
  • AWS
  • ETL Development
  • Data Warehousing
  • Data Modeling
  • Business Intelligence
  • Analytics
  • Dashboard Development
  • Data Governance
  • Healthcare Analytics