Data Analyst

Support the Chief Data Scientist with all aspects of theData Science Workflow.

§Business Understanding

oLiaise withSubject Matter Experts for business understanding and problem definitions

oIdentifyand define business problems and client objectives

oWork withManagement and Clients to prioritize business and information needs

§Data Acquisition and Understanding

oAcquiredata from primary or secondary data sources and maintain databases/data systems

oWork withclients and internal departments to create data collection, storage and data integrityguidelines.

oDevelop andimplement databases, data collection systems, and data analytics to optimizestatistical efficiency and quality

oValidate andmaintain data sources and data integrity

oPerformExploratory Data Analysis as required

oInterpretdata and analyse results using statistical and other techniques

oIdentify,analyse, and interpret trends or patterns in complex data sets

oCreateVisualizations to investigate and report data findings

oReview dataand findings for consistency, validity and correctness

§Modelling

oDevelopModels to generate value for clients and the company; these include MachineLearning, Simulation, Scenario, Reinforcement Learning and Statistical models

§Deployment

oMakerecommendations to add value, based on findings

oGenerateeasy-to-interpret reports based on collected data.

oCreateinformative, actionable and repeatable reporting

oConductinsightful, ad hoc analyses to investigate ongoing or one-time problems

oCreateproducts to communicate useful insights to clients and other stakeholders

• Ideal candidateshould have a degree in a quantitative field : mathematics, computer science,physics, economics, engineering, statistics, operations research, quantitativesocial 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 incomputer 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 providesoftware 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 formanaging large-scale databases.
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  Demonstrated experience in handling large data sets andrelational databases.
  Understanding of addressing and metadata standards.
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  High-level written and verbal communication skills

Originally posted on Himalayas