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

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