Data Analyst

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This is a remote position.<\/p>

Responsibilities<\/span><\/b>

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Support the Chief Data Scientist with all aspects of the Data Science Workflow.<\/span>

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§<\/span> <\/span><\/span><\/span><\/span>Business Understanding<\/span><\/span><\/b>

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o<\/span> <\/span><\/span><\/span><\/span>Liaise with Subject Matter Experts for business understanding and problem definitions<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Identify and define business problems and client objectives<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Work with Management and Clients to prioritize business and information needs<\/span><\/span>

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§<\/span> <\/span><\/span><\/span><\/span>Data Acquisition and Understanding<\/span><\/span><\/b>

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o<\/span> <\/span><\/span><\/span><\/span>Acquire data from primary or secondary data sources and maintain databases/data systems<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Work with clients and internal departments to create data collection, storage and data integrity guidelines.<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Develop and implement databases, data collection systems, and data analytics to optimize statistical efficiency and quality<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Validate and maintain data sources and data integrity<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Clean and Munge data as required<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Perform Exploratory Data Analysis as required<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Interpret data and analyse results using statistical and other techniques<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Identify, analyse, and interpret trends or patterns in complex data sets<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Create Visualizations to investigate and report data findings<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Review data and findings for consistency, validity and correctness<\/span><\/span>

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§<\/span> <\/span><\/span><\/span><\/span>Modelling<\/span><\/span><\/b>

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o<\/span> <\/span><\/span><\/span><\/span>Develop Models to generate value for clients and the company; these include Machine Learning, Simulation, Scenario, Reinforcement Learning and Statistical models<\/span><\/span>

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§<\/span> <\/span><\/span><\/span><\/span>Deployment<\/span><\/span><\/b>

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o<\/span> <\/span><\/span><\/span><\/span>Make recommendations to add value, based on findings<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Generate easy-to-interpret reports based on collected data.<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Create informative, actionable and repeatable reporting<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Conduct insightful, ad hoc analyses to investigate ongoing or one-time problems<\/span><\/span>

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o<\/span> <\/span><\/span><\/span><\/span>Create products to communicate useful insights to clients and other stakeholders<\/span><\/span>

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Requirements<\/h3>

<\/div> <\/span><\/span><\/span><\/span><\/span><\/span>Ideal candidate should have a degree in a quantitative field : mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).<\/span><\/span><\/span>

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Good analytical and problem-solving abilities.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Bachelor's degree from an accredited university or college in computer science.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Work experience as a data analyst or in a related field.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Ability to work with stakeholders to assess potential risks.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Ability to analyze existing tools and databases and provide software solution recommendations.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Ability to translate business requirements into non-technical, lay terms.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

High-level experience in methodologies and processes for managing large-scale databases.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span><\/span><\/span>

Demonstrated experience in handling large data sets and relational databases.<\/span>

Understanding of addressing and metadata standards.<\/span><\/span><\/span><\/span><\/li> · <\/span><\/span><\/span><\/span>

High-level written and verbal communication skills<\/span><\/span><\/span><\/span><\/li>

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