Data Analyst II

Data Analyst II

We are Lennar 

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 by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.

Join a Company that Empowers you to Build your Future

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. You will also mentor junior analysts and contribute to data process improvements.

• A career with purpose.

• A career built on making dreams come true.

• A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team 

• 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, NumPy) or R for complex data manipulation

• Ability to create interactive dashboards (Tableau/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.

Requirements

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

• 3+ years of related experience.

• 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 I in their daily tasks.

• Experience with Data Warehousing concepts  on AWS Platform & Snowflake

• 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

Physical & Office/Site Presence Requirements:

Regular, in-person attendance at the Lennar office during regular work hours is an essential function of this job. This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessa