About
Lennar is one of the nations 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, 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.
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, 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. • 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.
Company :
Lennar Corporation, founded in 1954, is one of the nations leading builders of quality homes for all generations. Founded in 1954, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.
Languages
- English
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