1

Manager Political Science Data Analytics Jobs in Florida

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Analytics Engineer will support the Revenue Management Development and Systems team by ... Required : • Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Revenue Management Development and Systems team is responsible for all data, decision tools ... Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics, Analytics ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Revenue Management Development and Systems team is responsible for all data, decision tools ... Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics, Analytics ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Conducts initial assessments and data analyses to identify and quantify/qualify recommended ...

Showing results 41-60

Manager Political Science Data Analytics information

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

To thrive as a Manager in Political Science Data Analytics, you need a strong background in political science, statistical analysis, and data interpretation, typically supported by an advanced degree in political science, statistics, or a related field. Expertise with data analytics tools like R, Python, SQL, and visualization platforms such as Tableau or Power BI, along with knowledge of data management systems, is essential. Strong leadership, critical thinking, and effective communication skills help you manage teams and clearly present complex insights to stakeholders. These competencies are vital for transforming data into actionable policy insights and guiding strategic decision-making within political or public sector organizations.

What does a manager political science data analytics do?

A Manager of Political Science Data Analytics leads teams that gather, analyze, and interpret data related to political science topics, such as voter behavior, election results, public opinion, and policy outcomes. They design research methodologies, oversee data collection and cleaning, and use statistical tools to find insights that inform political strategy or academic research. Additionally, they are responsible for communicating findings to stakeholders, ensuring the accuracy of the analysis, and staying updated with the latest trends in data analytics and political science.

How does a manager political science data analytics typically collaborate with cross-functional teams to support research initiatives?

A Manager Political Science Data Analytics often works closely with researchers, policy analysts, and IT professionals to design and implement data-driven research projects. They act as a bridge between technical data teams and subject matter experts, ensuring that data collection, analysis, and interpretation align with the goals of the research. Regular meetings, clear communication of analytical findings, and collaborative problem-solving are key aspects of the role. This collaborative environment helps translate complex data insights into actionable recommendations for policy development or academic research.
What are the most commonly searched types of Political Science Data Analytics jobs in Florida? The most popular types of Political Science Data Analytics jobs in Florida are:
What cities in Florida are hiring for Manager Political Science Data Analytics jobs? Cities in Florida with the most Manager Political Science Data Analytics job openings:

Data Analytics Engineer

Royal Caribbean Group

Miami, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 21 days ago


Royal Caribbean Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

1st of 9 rated cruise lines


Job description

Job Summary:
Royal Caribbean Group is a leader in the vacation industry, offering unique career opportunities. The Data Analytics Engineer will support the Revenue Management Development and Systems team by designing, developing, and implementing data processes, reporting, and analytics solutions.
Responsibilities:
• Meet with business stakeholders to clarify and document reporting requirements
• Works with management & other team members to understand & clarify data analysis and reporting needs
• Meet with technical stakeholders to perform code reviews and elicit feedback
• Assist in developing, implementing, and maintaining data processes, business intelligence reporting, and user tools
• Recommend data architecture and engineering structures necessary to support reports
• Develop new reporting by creating new queries or coding new processes. Aggregates large data sets in SQL, Python, and other analytical tools for analysis. Develops data strategies, specifically around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data. Performs research and analysis on large data sets - data exploration, trending, etc.
• Continuously search for potential business improvements, revenue opportunity and efficiency gains.
• Clearly explain tools and results to teams and management. Develop and conduct clear, concise presentations, communicating technical methods and impacts in business terms.
• Performs other duties as required.
Qualifications:
Required:
• Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics, Analytics, Business, Engineering or BS/BA with combination thereof and related analytic work experience or relevant certifications.
• 2 years of work experience in data analysis, data mining, business case development or other related analytical projects.
• Equivalent combination of education and experience will be considered.
• Strong proficiency in query/reporting tools, SQL, Python or other development tools.
• Understanding of forecasting, data cleansing and transformations.
• Experience working with databases, including Oracle, Databricks, or SQL Server.
• Strong quantitative, analytical, and problem-solving skills.
• Demonstrated ability to develop and implement applications using programming languages.
• Experience with SQL required.
• Experience in supporting and interpreting reporting using business Intelligence tools (Power BI and Databricks experience a plus).
• Ability to handle dynamic workload, balancing short- and long-term projects.
• Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats.
Company:
Royal Caribbean Group is a cruise vacation company with a global fleet of 63 ships traveling around the world. Founded in 1968, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Royal Caribbean Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom