Data Analyst II

Role Overview

• 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.

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.

Tech Stack

• Cloud
• Numpy
• Pandas
• Python
• SQL

Benefits

• robust health insurance plans, including Medical, Dental, and Vision coverage
• 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• up to $30,000 in Adoption Assistance
• up to three weeks of vacation annually
• generous Holiday, Sick Leave, and Personal Day policies
• New Hire Referral Bonus Program
• significant Home Purchase Discounts
• unique opportunities such as the Everyone’s Included Day