Senior Technical Analyst, Solutions - Performance

S
WorldwideFull-TimeSenior
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
PythonSQLNumpyPandasA/B testing

Requirements

  • 3+ years of experience in: management or technical consulting, strategy & operations, product management, data analytics (client-facing), or program management.
  • Bachelor’s degree with a proven academic record.
  • Impeccable business judgment, along with an inclination to formulate hypotheses, design tests, and use problem-solving techniques to evaluate solutions.
  • Exceptional verbal and written communication skills, with prior experience and comfort in presenting to clients and senior stakeholders.
  • Ability to juggle and prioritize multiple on-going initiatives, projects, tasks, and time-sensitive requests.
  • Strong SQL skills, including writing complex queries, optimizing performance, and working with relational database structures.
  • Working knowledge of Python and data analytics libraries (e.g., NumPy, Pandas, Matplotlib) for data manipulation, analysis, and visualization.
  • Strong analytical and statistical reasoning skills, including experience with A/B testing, significance testing, and regression analysis to generate insights and guide business decisions.
  • A proven track record of successfully managing strategic and operationally complex projects within cross-functional teams.

Responsibilities

  • Support the team leads in executing the program roadmap for Tier 1 projects, contributing to the end-to-end workflow of MVP development, testing, commercialisation and operations.
  • Collaborate cross-functionally with Product, Revenue, Marketing, Business Intelligence, and Data Science teams to design, test, and iterate on performance-focused initiatives.
  • Lead the building process of performance proof-of-concepts (POCs) with strategic clients; test and validate custom use cases to establish clear paths to productisation.
  • Utilize data analysis to inform and make strategic recommendations in areas of opportunity that drive results and maximize the company’s growth objectives.
  • Assist in designing and running experiments to validate hypotheses that drive measurable improvements in marketing performance.
  • Translate complex data and technical capabilities into clear, client-friendly insights and recommendations.
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