Data Analyst II

Lennar•Bentonville, AR

About The Position

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.

Requirements

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.

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.