
Data Science Strategist, Connectivity Analytics
2 weeks ago
**Data Science Strategist, Connectivity Analytics Responsibilities**:
- Work closely with Mobile Operator and Telecom Infrastructure partners around APAC to understand their business needs and challenges and deliver value to them through insights
Partner cross-functionally with the product development and Data Science Engineering teams to access & understand the tools and data sets and the client sales team for media implementation strategies
- Leverage tools for data analytics (e.g. SQL, R, python), visualization (e.g. Tableau) and mapping (e.g. GIS) to conduct analysis, produce charts/graphs and reports/slide decks in support of partner/internal engagements
- Feed success & learning back to the product team to inform, influence and support our Insights product roadmap
**Minimum Qualifications**:
- BA/BS/BEng or higher degree in electrical/network engineering, computer science, statistics, economics, maths, physics or other quantitative discipline, or equivalent degree/experience
- Combined 5+ years of experience in data mining & analytics, and knowledge of data and insights, as well as managing partners and their expectations, scoping and prioritizing projects
- Experience in quantitative analysis, focused on goal driven optimization of large scale problems
- Experience working with large data-sets and an understanding of statistical analysis. Fluency in SQL or other data programming languages
- Project management experience, with experience leading and executing multiple time-sensitive projects with partners
- Communication and presentation skills, and experience clarifying and summarizing complex issues for C-levels
- Experience operating independently, demonstrating creativity, being detail-oriented, and delivering results in an organized manner
- Interpersonal skills with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights**Preferred Qualifications**:
- Knowledge of telecom business product, subscription based business models, and/or infrastructure network principles, such as coverage and capacity requirements
- Knowledge of operator KPI such as retention, network metrics, measurements and performance data
- Experience with scripting language for analytics (R, python etc.), GIS toolkits (e.g. ArcGIS, QGIS etc.) and report/dashboard building software (e.g. Tableau)
- Experience working on network performance and analytics for an operator or equipment vendor deploying or operating telecom networks
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