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Senior Manager Data Analytics Jobs in Florida (NOW HIRING)

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... analytics-setting standards for technical rigor, code quality, and business impact. * Own the ...

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing ... Partnering closely with product, analytics, engineering, and business stakeholders, the Senior ...

The Sr Manager of Data Engineering leads the delivery and operational excellence of enterprise data ... Cross-Functional Collaboration Partner with analytics, governance, security, infrastructure, and ...

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Showing results 1-20

Senior Manager Data Analytics information

See Florida salary details

$34.9K

$99.7K

$159.9K

How much do senior manager data analytics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior manager data analytics in Florida is $99,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $114,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Manager Data Analytics, and why are they important?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Florida? For Senior Manager Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Florida look for? The top searched job categories for Senior Manager Data Analytics jobs in Florida are:
What cities in Florida are hiring for Senior Manager Data Analytics jobs? Cities in Florida with the most Senior Manager Data Analytics job openings:
Infographic showing various Senior Manager Data Analytics job openings in Florida as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $99,680 per year, or $47.9 per hour.
Sr. Manager, Data Reporting & Analytics

Sr. Manager, Data Reporting & Analytics

Teledyne

Daytona Beach, FL

Full-time

Posted 2 days ago


Teledyne Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 155 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Job Summary:

The Senior Manager, Data Reporting & Analytics leads the enterprise Power BI and reporting function across multiple ERP platforms and business units. This role is accountable for both delivery and transformation-managing a team of Power BI developers while driving the transition from decentralized, gateway-based reporting to standardized Microsoft Fabric-based analytics. This role combines strong people leadership, deep technical expertise in Power BI and Microsoft Fabric, and enterprise-level coordination across business, ERP, and data platform teams. The Senior Manager ensures reporting solutions are scalable, governed, performant, and aligned to enterprise standards-while pragmatically supporting legacy content during the transition period.

Key Responsibilities:

People Leadership & Delivery Management:

  • Lead, coach, and develop a team of Power BI developers
  • Own delivery planning, capacity management, and prioritization across reporting demands
  • Establish technical expectations, quality standards, and best practices across the team
  • Conduct performance reviews, mentor developers, and build long-term analytics capability

Enterprise Reporting Ownership:

  • Own the enterprise reporting portfolio spanning multiple ERP systems and data sources
  • Coordinate reporting development across business units to reduce duplication and inconsistency
  • Rationalize legacy and bespoke reports, guiding consolidation toward standard solutions
  • Serve as the accountable owner for reporting quality, performance, and reliability

Microsoft Fabric Transition & Modernization:

  • Lead the evolution from gateway-dependent, ERP-specific Power BI architectures to Microsoft Fabric-aligned patterns
  • Define coexistence strategies for legacy reports during the transition period
  • Drive adoption of shared semantic models, standardized datasets, and reusable reporting assets
  • Partner with data engineering and platform teams on Lakehouse, Warehouse, and OneLake integration

Technical Direction & Governance:

  • Set technical standards for Power BI, semantic modeling, DAX, and report design
  • Provide hands-on architecture and design reviews for complex or high-impact analytics
  • Act as escalation point for performance optimization, model design, and advanced DAX issues
  • Ensure appropriate use of Row-Level Security (RLS), Object-Level Security (OLS), and governance controls

Stakeholder & Demand Management:

  • Act as the senior reporting point-of-contact for business and ERP stakeholders
  • Translate business questions into scalable, enterprise-ready reporting solutions
  • Balance enterprise governance with pragmatic business delivery
  • Clearly communicate trade-offs, priorities, and roadmap implications

Enablement & Community Leadership:

  • Oversee development of Power BI training materials and internal best-practice guidance
  • Sponsor and run internal Power BI user group sessions (quarterly or more frequently)
  • Promote adoption of standardized patterns and continuous improvement across the organization

Required Professional & Leadership Experience:

  • 8-12+ years in analytics, BI, or reporting roles
  • 3-7+ years managing Power BI developers or analytics teams
  • Proven experience leading reporting functions through architectural or platform transformation
  • Demonstrated ability to influence across business units and technology teams

Technical Expertise:

  • Expert-level Power BI experience:
    • Advanced semantic modeling
    • DAX optimization and performance tuning
    • Large-scale enterprise datasets
  • Strong working knowledge of Microsoft Fabric, including:
    • Lakehouse, Data Warehouse, OneLake
    • Direct Lake and Fabric-aligned modeling patterns
  • Deep experience with:
    • Dimensional modeling (star / snowflake schemas)
    • SQL optimization and query performance
    • On-premises gateways and cloud transition strategies
  • Experience implementing:
    • RLS / OLS
    • Governance, data quality checks, and documentation standards
  • Familiarity with Git-based source control and CI/CD patterns for Power BI and Fabric artifacts

Preferred Qualifications:

  • ERP reporting experience (SAP S/4, ECC, or comparable platforms strongly preferred)
  • Microsoft certifications such as PL-300 (or equivalent)
  • Exposure to Microsoft Purview for lineage and data governance
  • Experience with Power Platform (Power Apps / Power Automate) for write-back or workflow integration
  • Working knowledge of Python or R for advanced analytics scenarios

**USCitizenshipisrequiredforthisposition.Weareunabletohireindividualscurrentlyonaworkvisaorindividualswhowillrequireaworkvisainthefuture.**

Salary Range:

$96,600.00-$128,800.000

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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