Data Analyst

Title: Data Analyst Location: 100% Remote Duration: 1 year contract + extensions Rate: $30-$37/hr The ideal candidate is highly motivated, with a passion for modeling, analytics, and technology. The successful candidate will be given opportunities to apply their expertise to enhance the way data is used to inform and make decisions. “Data is the new gold.” Digitalization is generating large quantities of data, and when paired with intelligent automation, it is transforming how work is done across Engineering. You will be part of the Engineering Digital Transformation (EDT) initiative within Global Engineering at Client, focused on digitizing and automating how we deliver capital projects and manage the full lifecycle of our assets. EDT supports Engineering Project Delivery across Plan, Design, Build, Test, Operate & Maintain, and Dispose, including Environmental Sustainability, Health & Safety. Responsibilities Will Include, But Are Not Limited To • Creating striking visualizations to aid in data interpretation and usage. • Prototype, build, and customize analytical applications, often based off data scientist model output, to enable in-depth analysis • Constantly iterate with the business on analysis and dashboard design to ensure all necessary features and data are present • Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs • Exploring and evaluating new techniques to improve the data processing capabilities. • Collect, clean, and process data from multiple internal and external sources Preferred Skills • Proficiency in Python and SQL. • Experience processing, filtering, cleaning, and standardizing large datasets. • Ability to restructure, pivot, and reform data based on current needs • Experience with Python data libraries such as Numpy and Pandas. • Working knowledge of Microsoft Excel • Experience with data visualization tools such as Matplotlib, and Spotfire. Preferred Traits • Passion for data exploring and organizing large datasets. • Intellectual curiosity with ability to learn new concepts, scripts, and methods. • Ability to manage multiple, competing priorities simultaneously. • Ability to deliver work in an organized, and on-time fashion. • Ability to work in highly collaborative, cross-functional environments. • Experience in the biotechnology industry is NOT required Basic Qualifications Bachelor Degree & 2+ years of experience (Engineering, Operations, OR Scientific)Basic Qualification: Bachelor Degree & 2+ years of experience (Engineering, Operations, OR Scientific)