Data Analyst – Python, SQL & AI/ML (Onsite, Fremont or Menlo Park, CA)

**About the Role** We’re looking for a curious, analytical data analyst with strong Python and SQL skills and a solid understanding of machine learning and modern AI. You’ll work with large datasets, answer business questions with data, and help find ways AI can improve analytics work at a leading Bay Area technology company. **Employment Details** * Full\-time, W\-2 employee of 1 Data Analytics Inc., placed on a long\-term client engagement * Long\-term contract, renewed annually based on performance * Onsite in Fremont or Menlo Park, CA (not a remote position) **Responsibilities** * Write SQL to pull, join, and analyze data to find trends, rankings, and anomalies * Clean, transform, and analyze datasets using Python (Pandas) * Apply basic statistical and machine learning methods, and explain when they fit and when they don’t * Explore practical uses of LLMs, RAG, and AI agents in analytics workflows * Present findings clearly to technical and non\-technical stakeholders **Required Experience** * 5\+ years of professional experience in data analysis, data engineering, or software development (experience gained before or during graduate school counts) **Required Skills** *Python and Data Manipulation* * Pandas: reading, cleaning, and manipulating datasets * Core data structures: lists, tuples, dictionaries, and sets * Loops, conditions, functions, calculations, and data transformations *SQL* * JOINs, CTEs, and aggregations * Window functions such as RANK(), DENSE\_RANK(), LAG(), and LEAD() * Writing SQL to identify trends and rankings *Machine Learning and Statistics* * Regression and classification; supervised vs. unsupervised learning * Training and testing data, overfitting, and model evaluation basics * Correlation, mean, median, standard deviation, and distributions * Advanced ML coding is not required, but you should understand these concepts and be able to explain where they apply *Modern AI Concepts* * Large Language Models (LLMs), prompting, and hallucination * Embeddings and vector databases * Retrieval\-Augmented Generation (RAG) and AI agents * Most importantly: ideas on how AI can be used in data analytics *Communication* * Able to explain your projects clearly and concisely: the problem, the data, what you personally built, the technologies you used, and the result **Preferred Qualifications** * Master’s degree in Computer Science, Data Science, Analytics, Statistics, Engineering, or a related field * Portfolio or GitHub projects showing relevant data or ML work **Work Authorization** Candidates must be authorized to work in the US for this employer without sponsorship. We welcome OPT, STEM OPT (E\-Verify employer), H\-4 EAD, GC EAD, green card holders, and US citizens. We are unable to sponsor or transfer H\-1B visas. **Interview Process** * Short recruiter screen * Technical interview with a brief hands\-on Python and SQL exercise **How to Apply** Send your resume to 1da\-jobs@1dataanalytics.com and include: * Phone number * Total years of experience * Expected salary * Current location Pay: $40\.00 \- $55\.00 per hour Expected hours: 40\.0 per week Work Location: In person