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Integrated Resources

Data Analyst I Job at Integrated Resources in South San Francisco

Integrated Resources, South San Francisco, CA, US, 94083

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Entry Level Data Science Contractor Position
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.