Data Analyst

Job Title: Data Analyst Location: South San Francisco, CA Duration: 12+ months (Possible Extension) Job Description: 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: 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. 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. 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. Requirements 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.