MAJOR PURPOSE:Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. Validates findings using experimental and iterative approaches. This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. Output is reviewed by higher-level Data Scientists or Analytics Manager for execution.MAJOR DUTIES:Description of the major duties performed in this job.• Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business.• Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner.• Supports the communication of derived insights, especially through appropriate visualization techniques.• Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data.• Stays abreast of the latest appropriate analytical techniques and recommends these where needed. Explains implementation and usage in business terms.• Applies analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business.QUALIFICATIONS:Competencies, technical skills, formal education and relevant work experience critical for successful individual performance of essential functions.Technical Skills & Knowledge:Specialized skills, knowledge and abilities needed to perform the essential functions of the job.• Business process knowledge of assigned area(s) and/or function(s). - Has a good understanding of the principles and can independently use the knowledge.• Knowledge of advanced data gathering and analysis techniques, including statistical analysis. - Has a good understanding of the principles and can independently use the knowledge.• Knowledge of appropriate industry - Has a good understanding of the principles and can independently use the knowledge.• Good interpersonal, negotiation and conflict resolution skills. - Yes• Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation. - Has a good understanding of the principles and can independently use the knowledge.• Quantitative analytical skills - Has a good understanding of the principles and can independently use the knowledge.Education:Formal education or training required to perform the essential functions of the job. Includes degrees, certifications, licenses and/or registration requirements.• Degree in a Math discipline or equivalent experience. - University Degree (4 years or equivalent)• Degree in an Economics discipline or equivalent experience. - University Degree (4 years or equivalent)• Degree in a Statistics discipline or equivalent experience. - University Degree (4 years or equivalent)Relevant Work Experiences:Type and amount of experience necessary to perform the essential functions of the job. May include specific roles and/or an understanding of a particular function, organization, industry or product line.• Internal or external industry specific experience in relevant discipline. - 1 - 3 years• Data analytics experience. - 1 - 3 years• Background or proven experience in mining data for analytics insights. - 1 - 3 years• Good exposure to enterprise statistical tools like SAS, Statistica, SPSS or SAS E Miner - 1 - 3 yearsSpecific Position Requirements As a Data Wrangler you will enable the Engineering Organization to quickly make informed business decisions by developing and/or automating reports, dashboards, metrics and alerts. You will also support, evaluate, and continually improve digital tools to maintain alignment with strategic goals of the business, while functioning within an agile framework. The Data Wrangler will be mining information, building reports in PowerBI and macros in Excel.What Skills You Need (Required skills/experiences):• Ability to understand, develop, and enhance technical documentation• 1 or more years of data analytics experience• Experience in one or more computer programming languages• Proven working experience using SQL• Ability to communicate effectively and have excellent interpersonal skillsWhat Makes You Stand Out (Desired skills/experiences):1. Proven working experience with using Microsoft Power Platform2. Experience in the following languages:o JAVAo R scripting3. One or more years of experience utilizing complex queries to wrangle and analyze datasets using programs such as:o SASo SQL Servero Hanao DB24. Experience with Ignition5. Knowledge of manufacturing execution systems6. Experience working within the Agile framework7. One or more years of experience building databases and data pipelines8. 2 or more years of experience in manufacturing or quality engineering processesEducation:Ideally you will have a degree or equivalent related work experience in the following:• Bachelor's degree in Engineering or Computer Science, or equivalent work experience in a related career field.Onsite Position from day 1Hours of work typically M-F 7am - 3:30pmPotential to extend beyond fiscal year endVIVA 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.
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