| Job Location | Saudi Arabia |
| Education | Graduate |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
Key Responsibilities:As a successful candidate you will be required to perform the following:Oversee the company’s global quantitative reputation study and supporting qualitative program of focus groups and in-depth interviewsOversee the company’s social listening and insights program system which gauges all Saudi Aramco sentiment across digital media platforms incl. traditional media, social media, and digital media and forums.Oversee company brand measurement and research to identify return-on-investment from advertising and sponsorshipsDevelop relevant KPIs and track performance for regular KPI reportingCoordinate and collaborate with internal partners to track and measure impacts across events, communications and public relations activitiesManage the company’s central hub and repository of reputation and brand research and dataManage contracting and invoicing associated with the contracted agenciesConducting high-level statistical analysis on available datasets for integrated driver analysisDeveloping survey and data sourcing design guidance to drive statistical connectivity across diverse data sets while ensuring statistical relevance and cost effectiveness of individual studies.Education & Experience RequirementsAs a successful candidate, you will have:Bachelor degree In Statistics, Computer Science, Data Science, or related discipline from an accredited university. Advanced degree is a plus.15+ years of experience in data science, market research or analyticsStrong project management experienceDemonstrated ability to draw insights from and understand structured and unstructured dataAbility to work with technical tools such as: SPSS, Power BI, and Tableau in addition to Pulsar and other audience intelligence softwareAdvanced written, presentation, and verbal communication and people skills; must be adept at relating communicating and presenting data to non-experts/non-technical professionalsProficiency in languages like Python, R and SQL is requiredExtensive background in quantitative and qualitative research, data analysis and visualization, machine learning and statistical modeling.You will be redirected to the company website to apply for this position
Keyskills :
data science market research or analytics Python R SQL
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