Data Analyst II

Job Summary
:
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates. In this mid-level role, you will conduct more complex data analyses, create advanced reports and dashboards, and work closely with business units to translate their needs into data-driven insights.

Responsibilities
:

• Conduct more complex data analysis and develop insights that support business objectives.

• Create and maintain more advanced reports and dashboards for various stakeholders.

• Work closely with business units to translate their needs into data-driven solutions.

• Assist in developing data models to support predictive and prescriptive analytics.

• Provide guidance and support to Data Analyst 1 in their daily tasks.

• Identify trends, patterns, and anomalies in data sets and present findings to senior analysts.

• Contribute to the development of best practices for data management and analysis.

• Proficient in advanced data cleaning techniques, such as normalization, handling categorical variables, and merging datasets.

• Experience using tools like Python (pandas, Num Py) or R for complex data manipulation.

• Ability to create interactive dashboards (Power BI), use calculated fields, and design complex visualizations that tell a compelling data story.

• Knowledge of best practices in data visualization and experience with custom visualizations.

• Strong understanding of statistical methods (regression analysis, ANOVA, hypothesis testing);
Ability to apply these methods to real-world data and interpret the results.

• Understanding of how to create and maintain data models to support business reporting needs.

• Skilled at supporting and managing multiple projects and meeting deadlines.

• Experience with statistical analysis and predictive modeling.

• Identify trends, patterns, and anomalies in data sets and present findings to senior analysts.

• Contribute to the development of best practices for data management and analysis.

• Ability to work with large and complex data sets.

• Experience with programming (e.g., Python, Shell Script, SQL), data modeling, and developing features within hyperscaler cloud environments.

• Basic understanding of tools like dbt and Git Hub.

Qualifications
:
Required
:

• Bachelor’s degree in a related field; advanced coursework or certifications preferred.

• Ability to articulate data-driven insights clearly to a diverse audience.

• Identifies issues in data and processes, proposing effective solutions.

• Builds strong working relationships across teams and functions.

• Provide guidance and support to Data Analyst 1 in their daily tasks.

• Upholds ethical standards and sets a positive example for junior team members.

• Manages complex challenges with poise, maintaining focus under pressure.

• Actively contributes to change initiatives and encourages innovation within the team.

• Collaborates effectively with other departments to achieve shared goals.

• Takes on leadership roles in projects, mentoring junior analysts and guiding team efforts.

• Holds self and others accountable for meeting deadlines and achieving quality outcomes.

• Conduct more complex data analysis and develop insights that support business objectives.

• Create and maintain more advanced reports and dashboards for various stakeholders.

• Work closely with business units to translate their needs into data-driven solutions.

• Assist in developing data models to support predictive and prescriptive analytics.

• Identify trends, patterns, and anomalies in data sets and present findings to senior analysts.

• Contribute to the development of best practices for data management and analysis.

• Proficient in advanced data cleaning techniques, such as normalization, handling categorical variables, and merging datasets.

• Experience using tools like Python (pandas, Num Py) or R for complex data manipulation.

• Ability to create interactive dashboards (Power BI), use calculated fields, and design complex visualizations that tell a compelling data story.

• Knowledge of best practices in data visualization and experience with custom visualizations.

• Strong…