100% remote- Cross border work is not permittedDescription:Major PurposeWorks closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects. Work is of low to medium complexity and low to moderate in risk. Has contact with responsibility extending to other departments and functional operations and interaction with business contacts on tactical issues. Participates in various roles as a team member. Follows processes for tasks with some review. Uses discretion and judgment in planning own work/schedule. Impact of decision-making is low to medium risk and impact. Participates in sharing knowledge within the team. Applies information analyses to assist in the effective implementation and integration of a business sub process or processes. Completes routine changes and improvements to existing processes with some review.Major DutiesMake recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.Contribute to the preparation of various data and analytics reports.Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.Help others get the most out of data management systems by providing support and advice.Collate and analyze data using preset tools, methods, and formats. Involves working independently.Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.Skills, Abilities, KnowledgeData Collection and AnalysisData ControlBusiness Requirements AnalysisApplication DevelopmentBusiness Data ModelingCustomer and Market AnalysisPerform Gap AnalysisDatabase AdministrationReview and ReportingCommercial AcumenEducationBachelor's Degree or Equivalent LevelExperience working in uncertain environments with limited requirementsSQL Query experience (1-3 years)Combine raw data into useful summarizationsPython (3-5 years)Pyspark (3-5 years)Experience working with large scale dataExperience creating automated unit testsDashboard design experience (3-5 years)Experience translating complex data into business visualizationsExperience with Tableau (1-3 years)Notes:100% remoteMonday-Friday- 40 hours a week.VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:Major PurposeWorks closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects. Work is of low to medium complexity and low to moderate in risk. Has contact with responsibility extending to other departments and functional operations and interaction with business contacts on tactical issues. Participates in various roles as a team member. Follows processes for tasks with some review. Uses discretion and judgment in planning own work/schedule. Impact of decision-making is low to medium risk and impact. Participates in sharing knowledge within the team. Applies information analyses to assist in the effective implementation and integration of a business sub process or processes. Completes routine changes and improvements to existing processes with some review.Major DutiesMake recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.Contribute to the preparation of various data and analytics reports.Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.Help others get the most out of data management systems by providing support and advice.Collate and analyze data using preset tools, methods, and formats. Involves working independently.Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.Skills, Abilities, KnowledgeData Collection and AnalysisData ControlBusiness Requirements AnalysisApplication DevelopmentBusiness Data ModelingCustomer and Market AnalysisPerform Gap AnalysisDatabase AdministrationReview and ReportingCommercial AcumenEducationBachelor's Degree or Equivalent LevelExperience working in uncertain environments with limited requirementsSQL Query experience (1-3 years)Combine raw data into useful summarizationsPython (3-5 years)Pyspark (3-5 years)Experience working with large scale dataExperience creating automated unit testsDashboard design experience (3-5 years)Experience translating complex data into business visualizationsExperience with Tableau (1-3 years)Notes:100% remoteMonday-Friday- 40 hours a week.
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