The role's mission is to support regional strategy, plans and key initiatives, with a focus on managing research insights and data analytics across the region.Description DescriptionWork with external and internal data sets to support business needs and develop insights. Share and present insights and findings to key stakeholders and leadership. Collect, organize, and analyze large datasets to identify trends and patterns. Develop and maintain dashboards, reports, and visualizations for key stakeholders. Collaborate with cross-functional teams to understand business needs and data requirements. xe2x80x9cData as a Servicexe2x80x9d: be the primary point of contact, go to person, and trusted partner for all research and data insights related needs in MEA. Analyze market trends, customer behavior, and industry developments to provide actionable insights. Translate complex data into clear, actionable insights that drives strategy and decision-making. Develop customer personas, journey maps, and segmentation models to enhance understanding of target audiences for base management activities. Aggregate data from partners across the region to assess performance and develop insights (e.g., affordability programs). Track key performance indicators (KPIs) to evaluate the success of campaigns, strategies, and initiatives (e.g., ROAS, ROI). Lead the engagement with WW research team to obtain relevant market intelligence and insights in MEA. Provide sales and cross functional teams with research and insights on demographics, macroeconomic and market data. Produce a quarterly market share summary report with market share trends , insights and opportunities. Benchmark country opportunities and performance from different angles: market shares, wealth metrics, base evolution, upgrade cycles, key mega trends, pre-paid vs post paid customers evolution, payments landscape, in-house share trends. Run regular opportunity sizing studies at LOB/country/regional level. Engage with other WW hubs to assess data driven best practices that could be implemented in the region.Minimum Qualifications Minimum Qualifications
Minimum of 7 years experience in a Business or Data Analytics role, ideally in a Business Development, Strategy, Consulting or Data Science / Analytics practice
Strong Excel knowledge with deep modelling capabilities
Proficiency in data visualisation tools (Tableau, or equivalent)
Experience in data analytics roles in Digital, Affordability or CVM/ Base Management would be a plus
Knowledge of SQL for querying databases, is a plus
Experience with statistical tools, programming and machine learning (e.g., Python, R) is a plus
Excellent problem-solving skills and attention to detail
Ability to communicate complex findings in a clear and concise manner
Strong presentation and communication skills
A team player that can easily interact across local and central teams