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Senior Data Strategy Jobs in Florida (NOW HIRING)

The Senior Data Developer will be, extracting, transforming, and loading data from various sources ... Should develop, document, implement, maintain and enforces the comprehensive data strategy ...

... Senior Data Modeler/Architect Location-Orlando, FL Job Type-Long Term Contract Erwin, Data ... Implementing data strategies and developing physical data models. Updating and optimizing local and ...

Senior Data Engineer

Orlando, FL

$99K - $134K/yr

Senior Data Engineer Req ID: 10149269 This role will be on-site at least 4 days per week for ... The Global Information Security (GIS) Data Strategy and Engineering team acquires, enriches, and ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... data strategies, and deliver high-quality engineering solutions. 5)Lead and drive technical ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... data strategies, and deliver high-quality engineering solutions. 5)Lead and drive technical ...

Senior Data Architect

Tallahassee, FL · On-site

$64 - $85.50/hr

Senior Data Architect Location: Tallahassee, Florida Duration: 12 months Employment Type: Contract ... Develop conceptual and logical data models, data collection systems, and analytics strategies to ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing ...

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary ... Promote the long-term customer vision that supports Hertz's business strategy as the marketplace ...

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Senior Data Strategy information

What does a Senior Data Strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

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

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a Senior Data Strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Florida? The most popular types of Data Strategy jobs in Florida are:
What cities in Florida are hiring for Senior Data Strategy jobs? Cities in Florida with the most Senior Data Strategy job openings:
Sr Data Modeler

Other

Posted 10 days ago


Job description

Senior Data Modeler
Orlando, FL (Day 1 onsite for 4 weeks then Remote)
12+ months

15 Years Experience

•  Erwin/ERStudio, Data Warehouse, Azure Cloud, SQL, Oracle and any Data Engineering experience Bigdata, Pyspark/Spark is a plus
•  Should have worked in Transactional Data and Application side as well.
•  Analysing and translating business needs into long-term solution data models.
•  Evaluating existing data systems.
•  Working with the development team to create conceptual data models and data flows.
•  Developing best practices for data coding to ensure consistency within the system.
•  Reviewing modifications of existing systems for cross-compatibility.
•  Implementing data strategies and developing physical data models.
•  Updating and optimizing local and metadata models.