Data Analyst
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 13, 2026.
This is a remote position.
Responsibilities
Support the Chief Data Scientist with all aspects of the Data Science Workflow.
§Business Understanding
oLiaise with Subject Matter Experts for business understanding and problem definitions
oIdentify and define business problems and client objectives
oWork with Management and Clients to prioritize business and information needs
§Data Acquisition and Understanding
oAcquire data from primary or secondary data sources and maintain databases/data systems
oWork with clients and internal departments to create data collection, storage and data integrity guidelines.
oDevelop and implement databases, data collection systems, and data analytics to optimize statistical efficiency and quality
oValidate and maintain data sources and data integrity
oClean and Munge data as required
oPerform Exploratory Data Analysis as required
oInterpret data and analyse results using statistical and other techniques
oIdentify, analyse, and interpret trends or patterns in complex data sets
oCreate Visualizations to investigate and report data findings
oReview data and findings for consistency, validity and correctness
§Modelling
oDevelop Models to generate value for clients and the company; these include Machine Learning, Simulation, Scenario, Reinforcement Learning and Statistical models
§ Deployment
oMake recommendations to add value, based on findings
oGenerate easy-to-interpret reports based on collected data.
oCreate informative, actionable and repeatable reporting
oConduct insightful, ad hoc analyses to investigate ongoing or one-time problems
oCreate 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.
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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