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Lennar · 15 hours ago

Data Analyst II

Miami, FL (Job Posting Location)

Full-time

Onsite

Mid Level

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 complex data analyses, create advanced reports and dashboards, and work closely with business units to translate their needs into data-driven insights.

ConstructionLifestyleReal Estate

H1B Sponsor Likely

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, NumPy) 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 GitHub

Qualification

Data analysisPythonData visualizationStatistical methodsData modelingPredictive modelingPower BISQLMentoringCollaborationProblem-solvingCommunication

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