ZipRecruiter

Log In

1

Strategy Analytics Manager Jobs in Jupiter, FL (NOW HIRING)

Td

Senior Group Risk Analyst (US)

West Palm Beach, FL · On-site

$72K - $117K/yr

May also monitor/report on compliance, management, and strategic initiatives * Provides regular commentary and industry analysis in supporting the development/maintenance/oversight of policies ...

previous page

Showing results 41-60

All JobsStrategy Analytics JobsStrategy Analytics Manager JobsStrategy Analytics Manager Jobs in Jupiter, FL

Strategy Analytics Manager information

See Jupiter, FL salary details

$54.3K

$121.9K

$212.7K

How much do strategy analytics manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for strategy analytics manager in Jupiter, FL is $121,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a strategy analytics manager, and why are they important?

To thrive as a Strategy Analytics Manager, you need strong analytical abilities, business acumen, and a background in quantitative fields such as economics, statistics, or business management, often supported by a bachelor's or master's degree. Proficiency with data analytics tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Exceptional communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These skills are crucial for driving data-informed strategic decisions and effectively collaborating with cross-functional teams to achieve business goals.

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

AspectStrategy Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Business, Economics, or related fields; experience in analytics and strategyBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentStrategic planning teams, cross-functional departments, senior managementData teams, IT departments, project-based settings
Employer & Industry UsageConsulting firms, corporate strategy departments, market researchFinance, marketing, healthcare, technology sectors

The Strategy Analytics Manager focuses on analyzing market and business data to inform strategic decisions, often leading teams and working closely with senior management. In contrast, Data Analysts primarily handle data collection, cleaning, and basic analysis to support various operational needs. Both roles require strong analytical skills, but the Strategy Analytics Manager emphasizes strategic insight and leadership.

How does a strategy analytics manager typically collaborate with cross-functional teams to drive business outcomes?

As a Strategy Analytics Manager, you will frequently work alongside teams from marketing, finance, operations, and product development. This collaboration involves gathering data requirements, communicating analytical findings, and translating insights into actionable strategies. You’ll often facilitate workshops or meetings to align objectives, ensure data integrity, and support decision-making processes. Effective communication and stakeholder management skills are crucial, as your analyses directly inform key business initiatives and strategic direction.

What does a strategy analytics manager do?

A Strategy Analytics Manager is responsible for analyzing data and market trends to help shape a company's strategic direction. They gather and interpret complex data, create actionable insights, and collaborate with executives to develop business strategies. These managers often use advanced analytics tools to assess performance, identify opportunities for growth, and support critical decision-making. Their work plays a crucial role in ensuring the organization remains competitive and achieves its long-term goals.
What are popular job titles related to Strategy Analytics Manager jobs in Jupiter, FL? For Strategy Analytics Manager jobs in Jupiter, FL, the most frequently searched job titles are:
What cities near Jupiter, FL are hiring for Strategy Analytics Manager jobs? Cities near Jupiter, FL with the most Strategy Analytics Manager job openings:
Strategy Analytics Manager jobs near you
Infographic showing various Strategy Analytics Manager job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $121,895 per year, or $58.6 per hour.

Data Product Manager x 2

Delan Associates, Inc

Juno Beach, FL • On-site

Full-time

Posted 5 days ago

Job description

The Data Product Manager is responsible for leading the lifecycle of data-centric products, with a strong emphasis on 0-to-1 product ideation, prototyping, and execution translating ambiguous opportunities into validated, scalable data products aligned with user needs and business value within the Data Office.
Key Responsibilities
Product Strategy and Vision
Define data product strategy and vision aligned with NEE and Data Office goals.
Develop a product roadmap that evolves with changing user needs, including phased 0-1 to scaled delivery planning.
Identify Enterprise Data opportunities and user needs through research, analysis, and emerging technology assessment.
Product Discovery & 0-1 Ideation
Lead 0-to-1 product ideation cycles, transforming undefined problem spaces into structured product concepts with clear business cases.
Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements.
Conduct user interviews and surveys to gather insights and validate product concepts.
Develop mockups, wireframes, and low-fidelity prototypes to rapidly test and validate hypotheses prior to full development.
Conduct usability testing on prototypes and iterate based on stakeholder and end-user feedback.
Engage in competitive analysis to identify differentiation opportunities.
Utilize data-driven techniques to uncover emerging trends and inform discovery.
Prototyping & AI Development
Architect and deliver functional 0-1 prototypes, including AI-enabled capabilities, to demonstrate product value and de-risk full-scale investment.
Lead the design and development of AI agents within prototype environments, defining agent objectives, tool integrations, orchestration logic, and evaluation criteria.
Collaborate with data scientists and engineers to incorporate generative AI, ML models, or LLM-based components into prototypes as needed to meet product goals.
Establish prototype success criteria and manage the transition from prototype to production-ready product.
Product Development & Tech Oversight
Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights and validated prototypes into product features.
Oversee the use of data migration development tools (e.g., Databricks, AWS Glue, DMS, or equivalent) to support data movement, transformation, and pipeline development within the product lifecycle.
Prioritize features and functionalities based on business impact and technical feasibility.
Stakeholder Management
Engage with stakeholders across the organization to gather requirements and communicate product status.
Advocate for product within the company and ensure alignment with business objectives.
Provide training and support for users and stakeholders to maximize product adoption.
Data Analysis and Insights
Utilize data analysis tools to derive insights and inform product decisions.
Ensure the accuracy and quality of data within products.
Performance Metrics and Reporting
Define and monitor KPIs to assess product performance and return on investment (e.g., product-level Profit and Loss forecasting and analysis).
Manage budget for product development and ensure optimal resource allocation.
Prepare reports and presentations to communicate results and insights.
Create product collateral (e.g., Product Charters, prototype summaries, case studies, 1-pagers).
Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field.
Master's degree in an analytical field preferred.
Experience in product management with a focus on data products, discovery, and 0-to-1 product delivery.
Strong technical background with an understanding of data technologies, AI/ML tooling, and data migration frameworks.
Excellent communication skills and ability to work cross-functionally.