Partner Data Scientist, Connectivity Analytics

Job description

Our client in London is currently seeking a highly experienced and motivated Partner Data Scientist, Connectivity Analytics.
This will be a 12 month contract position with potential for extension.

This role is to be conducted on-site.

Our Client's Mobile and Connectivity Partnerships is seeking an individual who is passionate about connecting their global community to help build and scale the Analytics and Network Planning products aimed at their Mobile Operator and Telecommunications partners in EMEA.

Successful candidates will have a strong technical & data mining skillset, as well as client-facing experience — and enjoy the balance of both. You will engage with key partners on all levels including C-suite, delivering strategic business value from their insights products/data as part of unique partnership. At the same time you can be scrappy, focused on results, are a self-starter and have demonstrated success in using analytics to drive the growth and success of a business. Your proven track record of leadership and impact in developing analytics and metrics based programs speaks for itself.

  • Work closely with Mobile Operator and Telecom Infrastructure partners around EMEA to understand their business needs and challenges and deliver value to them through insights
  • Apply your knowledge in quantitative business and/or network performance analysis & data mining to see beyond the numbers to bring their partners actionable insights and recommendations to use for their business and network infrastructure strategies
  • 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 their Insights product roadmap

  • BA/BS/BEng or higher degree in electrical/network engineering, computer science, statistics, economics, maths, physics or other quantitative discipline, or equivalent degree/experience
  • 4+ years of experience in data mining & analytics, working with clients and knowledge of data and insights
  • 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
  • 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
  • Experience operating independently, demonstrating creativity, being detail-oriented, and delivering results in an organized manner
  • Experience working with a mobile operator, network planning organization or third party vendor/consultancy on business strategy, analytics or network performance

Preferred Qualification:
  • 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
  • Knowledge of telecom infrastructure network principles, coverage and capacity requirements

  • Competitive salary
  • Healthcare contribution and inclusion in company pension scheme
  • Work laptop and phone
  • State of the art modern offices
  • 25 days annual leave (pro-rata) plus paid bank holidays
  • Expanding workforce with potential for career progression for top performers
  • Working with a company that will make your CV stand out

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