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San Francisco, California Stellent IT LLC
Data Analyst San Francisco,CA 6+ Months Phone + Skype Job Description Requirements -SQL -Python -ELT Bonus -PowerBI -ModelingMachine learning algorithms Location NEED to be SF Bay Area (not open for relocation) Open to C2C or W2 Rate 40-50hour Position Description As an Innovation Data Analyst, you will explore and serve data from different parts of the organization for actionable information, using your skills as a full-stack data analyst. You will primarily be responsible for Exploratory Data Analysis (EDA), which may include building the necessary data pipelines to enable analysis and serve insights on a regular basis. You will be part of a small data-focused team and interface with subject matter experts throughout the organization, including customer, operations, RD, and sales data. To be successful, you must be resourceful and inquisitive learn, retain, and transfer knowledge to different skill levels and see the forest and the trees. ESSENTIAL JOB RESPONSIBILITIES Prepare and explore datasets for actionable insights Work independently given direction Listen to Voice of Customer to align data exploration with business needs Build preliminary data pipelines Communicate progress and results through dashboards, reports, and presentations to stakeholders Document work product and results, including data dictionaries, process maps, code, and architecture diagrams Knowledge and skills required Proficiency in Python, including library and package creation and deployment Previous Extract, Transform, Load (ETL) experience in Python, including data preparation and transformation, web scraping, and scheduling Working knowledge of statistics for data quality, transformation, parametermodeltest selection, and insight generation Dashboard and data design theory Previous experience with SQL database and schema creation Familiarity with code versioning best practices PREFERRED REQUIREMENTS Familiarity with PowerBI Exposure to molecular biology and polymerase chain reaction, primerprobe interaction modelling, gene expression, sequencing, andor bioinformatics Exposure to modelling, machine learning algorithms and training MINIMUM REQUIREMENTS Education and Experience (in years) Bachelor's in Statistics, Biology, Engineering, or Data Science, or related major 0-2 year's work experience in a related field