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Executive Data Analytics Jobs in Florida (NOW HIRING)

CAI

Financial Data Analyst

Miramar, FL · On-site

$40 - $45/hr

The role involves working closely with project managers, stakeholders, and executive leadership to ... Bachelor's degree in business, Data Analytics, Information Systems, or related field * 5+ years of ...

CAI

Financial Data Analyst

Miramar, FL · Hybrid

The role involves working closely with project managers, stakeholders, and executive leadership to ... Bachelor's degree in business, Data Analytics, Information Systems, or related field * 5+ years of ...

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Executive Data Analytics information

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use advanced tools and techniques to interpret data, generate insights, and communicate findings to executives to improve business performance.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Florida? The most popular types of Data Analytics jobs in Florida are:
Executive Data Analytics jobs near you

SENIOR DATA ANALYST

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

$80K - $101K/yr

Full-time

Re-posted 5 days ago

Job description

General Description:

The Senior Data Analyst is responsible for leading advanced reporting, analytics, and business intelligence initiatives within the Information Technology organization. This role partners closely with executive leadership, business stakeholders, and data engineering teams to deliver high-impact analytical solutions that drive operational performance, strategic decision-making, and enterprise growth.

The Senior Data Analyst designs scalable reporting frameworks, develops enterprise-grade dashboards and paginated reports, and performs advanced data analysis using modern tools and statistical techniques. This position serves as a subject matter expert in SQL Server, Power BI, and data modeling, while mentoring junior analysts and promoting data governance, automation, and analytical best practices.

Essential Duties and Responsibilities:

Enterprise Reporting & Business Intelligence

  • Lead development of executive dashboards and operational reporting solutions using Power BI and Power BI Paginated Reports
  • Design scalable semantic models (star schema, dimensional modeling) aligned with enterprise data standards
  • Deliver daily, weekly, monthly, and ad-hoc reporting with a focus on automation, accuracy, and performance
  • Ensure consistency and reconciliation across financial, underwriting, claims, sales, and operational reports

Advanced Data Analysis

  • Perform complex data analysis using SQL Server, Python (pandas, NumPy), and statistical techniques
  • Identify trends, patterns, anomalies, and business drivers within large datasets
  • Translate business questions into structured analytical approaches and actionable insights
  • Develop data validation and reconciliation processes to improve trust in enterprise reporting

Data Modeling & Query Optimization

  • Write advanced T-SQL queries, views, and stored procedures optimized for performance
  • Collaborate with Data Engineering on data models and data product design
  • Optimize report performance through indexing strategies, query tuning, and model design improvements

Automation & Process Improvement

  • Automate recurring reports and analytical workflows
  • Replace manual Excel-based processes with scalable BI solutions
  • Implement quality checks and monitoring processes to reduce reporting risk

Strategic Partnership

  • Serve as analytical advisor to department leaders and executives
  • Participate in requirements gathering sessions and translate business needs into technical deliverables
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to roadmap discussions for analytics platform modernization

Mentorship & Governance

  • Mentor junior analysts on SQL, data modeling, visualization best practices, and documentation standards
  • Promote consistent definitions, KPIs, and metadata usage across departments
  • Contribute to documentation, wiki content, and data dictionary standards

Additional Responsibilities

  • Contribute to project planning and task tracking
  • Successfully manage multiple initiatives simultaneously
  • Perform other duties as required

Education and/or Experience:

  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related discipline required
  • 6+ years of progressive experience in data analysis, business intelligence, or analytics roles
  • Advanced proficiency in Microsoft SQL Server (T-SQL, stored procedures, query optimization)
  • Strong expertise in Power BI (data modeling, DAX, report design, paginated reports)
  • Experience designing dimensional data models (fact/dimension tables, star schema)
  • Proficiency in Python for data analysis (pandas, NumPy; scikit-learn a plus)
  • Experience with Azure-based data environments and modern data platforms preferred
  • Strong understanding of data quality validation, reconciliation, and governance practices
  • Familiarity with Machine Learning concepts and predictive modeling methodologies preferred
  • Experience working in Property & Casualty Insurance a must
  • Familiarity with ticketing systems used to assign and track work
  • Strong written and oral communication skills