Data Analyst

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

•  Ideal candidate should have a degree in a quantitative field : mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).
  
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  Good analytical and problem-solving abilities.
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  Bachelor’s degree from an accredited university or college in computer science.
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  Work experience as a data analyst or in a related field.
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  Ability to work with stakeholders to assess potential risks.
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  Ability to analyze existing tools and databases and provide software solution recommendations.
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  Ability to translate business requirements into non-technical, lay terms.
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  High-level experience in methodologies and processes for managing large-scale databases.
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  Demonstrated experience in handling large data sets and relational databases.
  Understanding of addressing and metadata standards.
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  High-level written and verbal communication skills
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