Data Analyst I

Data Analyst

Location : South San Francisco, CA

Pay Range : $45.00 to $55.00 / hr

Duration : 1 year

Hours : 8 : 00am. to 5 : 00pm

Responsibilities

1. Data Quality

Ensure accuracy, completeness, and consistency of data across multiple systems.

Uphold data governance standards, managing access to sensitive information appropriately.

2. Data Analysis & Modeling

Analyze diverse data sources (e.g., surveys, sensors, attendance metrics) to identify trends, patterns, and insights.

Perform Exploratory Data Analysis (EDA) and feature engineering to prepare 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 SQL queries to extract and manipulate data from relational databases.

Learn and apply new analytical methods to enhance model performance and generate actionable insights.

Use Git / GitHub for version control and collaborative development.

3. Reporting & Communication

Develop reports and visualizations to clearly communicate insights to stakeholders.

Build, maintain, and share dashboards and reports using tools such as Tableau, R Shiny, ThoughtSpot, or G Suite.

Present findings and recommendations to both client and internal audiences.

Requirements

Core Qualifications

Bachelor’s degree in Statistics, Computer Science, Data Science, Psychology, or related analytics-focused field, OR 1+ years of professional experience in an analytical role.

Motivated self-starter with the ability to work proactively with guidance.

Strong organizational skills and attention to detail.

Proficiency with Microsoft Office and Google Suite.

Clear and effective communication skills (written and verbal).

Foundational understanding of analytics and data quality principles.

Preferred Qualifications

Advanced degree in a quantitative or related field.

Experience conducting research and performing deep analysis on data sets for insights.

Programming skills in R or Python for data analysis.

Experience creating dashboards or visualizations with Tableau and / or ThoughtSpot.

Academic or project-based experience applying core Machine Learning algorithms (e.g., Linear Regression, Logistic Regression, Decision Trees) with libraries like scikit-learn.

Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and SQL querying.

Knowledge of architecture and building standards (a plus, but not required).

Benefits : Health insurance

Health savings account

Dental insurance

Vision insurance

Flexible spending accounts

Life insurance

Retirement plan

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records. For Los Angeles, CA applicants : Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.