HybridDescription:The incumbent will validate and analyze client data to garner public health insight for specific client divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.The Data Analyst validates and analyzes a variety of client data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.JOB DUTIESServes as project lead/subject matter expert for specific data sources, as assignedReviews and provides feedback on the work products of other analystsResponsible for transferring raw data to the appropriate location for use in data analysis projectsWrangles, cleans, and validates client data sources with minimal guidanceConducts general analysis of client datasets; serves as project lead, as assigned.Contributes to complex analysis of client datasets, as requestedConducts data quality checks to ensure the validity and cleanliness of client datasets prior to their use in analysis and reportingOversee and review projects completed by associate analysts, as requested by senior analystInterprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologiesCollaborate with internal and external partners to develop novel ways of using and reporting out data.Provide technical assistance to program areas for the creation of reports and grant deliverablesREQUIREMENTSDemonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.Effective time management and program management skills.Ability to work in a team environment with multiple and fluid demands.Ability to maintain effective and professional working relationships with internal and external customers.Ability to research and document findings.Skill - Required / Desired - Amount of ExperienceExperience analyzing data and reporting relevant results in a professional non-academic setting. - Required - 1 YearsAbility to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional setting - Required - 2 YearsExperience using R or Python for data analysis and reporting. - Required - 1 YearsExperience using SQL to query a relational database - Required - 1 YearsExperience using SAS for data analysis and reporting. - Required - 1 YearsExperience using Tableau for data visualization - Highly desired - 1 YearsExperience using Azure Portal. - Highly desired - 1 YearsExperience using Microsoft DevOps. - Highly desired - 1 YearsNotes:Hybrid 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:The incumbent will validate and analyze client data to garner public health insight for specific client divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.The Data Analyst validates and analyzes a variety of client data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.JOB DUTIESServes as project lead/subject matter expert for specific data sources, as assignedReviews and provides feedback on the work products of other analystsResponsible for transferring raw data to the appropriate location for use in data analysis projectsWrangles, cleans, and validates client data sources with minimal guidanceConducts general analysis of client datasets; serves as project lead, as assigned.Contributes to complex analysis of client datasets, as requestedConducts data quality checks to ensure the validity and cleanliness of client datasets prior to their use in analysis and reportingOversee and review projects completed by associate analysts, as requested by senior analystInterprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologiesCollaborate with internal and external partners to develop novel ways of using and reporting out data.Provide technical assistance to program areas for the creation of reports and grant deliverablesREQUIREMENTSDemonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.Effective time management and program management skills.Ability to work in a team environment with multiple and fluid demands.Ability to maintain effective and professional working relationships with internal and external customers.Ability to research and document findings.Skill - Required / Desired - Amount of ExperienceExperience analyzing data and reporting relevant results in a professional non-academic setting. - Required - 1 YearsAbility to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional setting - Required - 2 YearsExperience using R or Python for data analysis and reporting. - Required - 1 YearsExperience using SQL to query a relational database - Required - 1 YearsExperience using SAS for data analysis and reporting. - Required - 1 YearsExperience using Tableau for data visualization - Highly desired - 1 YearsExperience using Azure Portal. - Highly desired - 1 YearsExperience using Microsoft DevOps. - Highly desired - 1 YearsNotes:Hybrid
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