Data Analyst I

The Opportunity:
Our Digital Strategy & Products (DS&P) team is looking for a curious and motivated Entry-level Data Analyst to join us. This is a fantastic opportunity for someone early in their career who loves to learn, solve puzzles with data, and grow their technical skills. You will work with diverse datasets to uncover insights that help our teams make smarter decisions. We’re looking for someone who can quickly learn new concepts and is eager to make an impact.

Responsibilities
The responsibilities for this position may include, but are not limited to:

1. Data Quality
? Help ensure data accuracy, completeness, and consistency across different systems.
? Uphold data governance standards, ensuring that access to potentially sensitive information is appropriately managed.

2. Data Analysis & Modeling
? Analyze diverse data sources—including survey, sensor, and attendance metrics—to identify trends, patterns, and insights.
? Perform Exploratory Data Analysis (EDA) and feature engineering to prepare complex datasets for deeper analysis.
? Contribute to the design, implementation, and validation of predictive models using machine learning and statistical techniques (e.g., regression, classification).
? Write basic to intermediate SQL queries to extract and manipulate data from relational databases.
? Learn and apply new analytical methods to enhance model performance and generate actionable insights.
? Utilize Git/GitHub for code version control and collaborative development with team members.

3. Reporting & Communication
? Generate reports and visualizations to communicate data insights to stakeholders in a clear and compelling way.
? Assist in building, maintaining, and sharing dashboards and reports using tools like Tableau, R Shiny, ThoughtSpot, and/or G Suite.
? Present findings and insights to client and internal audiences.

Core Qualifications:
? Bachelor’s degree in Statistics, Computer Science, Data Science, Psychology, or another field with a focus on analytics and measurement, OR 1+ years of professional experience in an analytical role as a primary function of your position.
? A motivated self-starter with a strong desire to learn and the ability to work proactively with guidance.
? Strong organizational skills and a keen eye for detail.
? Proficiency with Microsoft Office and Google Suite.
? Clear and effective communication (written/verbal) and presentation skills.
? A foundational understanding of analytics and data quality principles.

Preferred Qualifications:
? Advanced degree in a quantitative or related field.
? Proven experience in research and deep analysis of data sets for insights.
? Programming skills in a language like R or Python for data analysis.
? Experience creating dashboards or visualizations with tools like Tableau and/or
ThoughtSpot.
? Academic or project-based experience applying core Machine Learning algorithms (e.g., Linear Regression, Logistic Regression, Decision Trees) using libraries like scikit-learn.
? Familiarity with cloud computing environments (e.g., AWS, Azure, GCP) or querying with SQL.
? Knowledge of architecture and building standards is a plus, but not required.

Pay rnages btween $25-35/hr based on experience