Data Analyst

Job Description This is a remote position. Responsibilities Support the Chief Data Scientist with all aspects of the Data Science Workflow. § Business Understanding o Liaise with Subject Matter Experts for business understanding and problem definitions o Identify and define business problems and client objectives o Work with Management and Clients to prioritize business and information needs § Data Acquisition and Understanding o Acquire data from primary or secondary data sources and maintain databases/data systems o Work with clients and internal departments to create data collection, storage and data integrity guidelines. o Develop and implement databases, data collection systems, and data analytics to optimize statistical efficiency and quality o Validate and maintain data sources and data integrity o Clean and Munge data as required o Perform Exploratory Data Analysis as required o Interpret data and analyse results using statistical and other techniques o Identify, analyse, and interpret trends or patterns in complex data sets o Create Visualizations to investigate and report data findings o Review data and findings for consistency, validity and correctness § Modelling o Develop Models to generate value for clients and the company; these include Machine Learning, Simulation, Scenario, Reinforcement Learning and Statistical models § Deployment o Make recommendations to add value, based on findings o Generate easy-to-interpret reports based on collected data. o Create informative, actionable and repeatable reporting o Conduct insightful, ad hoc analyses to investigate ongoing or one-time problems o Create products to communicate useful insights to clients and other stakeholders Requirements Ideal candidate should have a degree in a quantitative field : mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.). Good analytical and problem-solving abilities. · Bachelor’s degree from an accredited university or college in computer science. · Work experience as a data analyst or in a related field. · Ability to work with stakeholders to assess potential risks. · Ability to analyze existing tools and databases and provide software solution recommendations. · Ability to translate business requirements into non-technical, lay terms. · High-level experience in methodologies and processes for managing large-scale databases. · Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. · High-level written and verbal communication skills