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.
