Data Analytics Manager

Role Overview

We are looking for a seasoned Data Analytics Manager to spearhead data analytics across a multifaceted international enterprise operating in several countries. This position will transform extensive customer, commercial, and operational datasets into actionable insights, enabling senior leadership to enhance revenue, customer acquisition and retention, profitability, and operational efficiency.

Key Duties

• Oversee the data analytics division spanning multiple countries, standardizing reporting, key performance indicators, and analytical methodologies.
• Create executive dashboards that track revenue, sales, customer dynamics such as acquisition and churn, average revenue per user, usage patterns, profitability, and operational metrics.
• Examine substantial customer and transaction data to uncover commercial trends, opportunities, and performance challenges.
• Execute sophisticated analyses including customer segmentation, cohort analysis, propensity scoring, churn prediction, and customer lifetime value assessments.
• Collaborate with teams from Commercial, Marketing, Finance, Product, Technology, and Operations to convert data insights into actionable business strategies.
• Analyze marketing and digital acquisition effectiveness, with metrics such as customer acquisition cost, conversion rates, return on investment, and channel performance.
• Develop forecasting and predictive analytic models to inform commercial strategy and decision-making.
• Implement automated reporting processes to minimize manual spreadsheet use.
• Maintain data accuracy, consistency, and governance across various countries and data sources.
• Design and manage business intelligence dashboards and promote self-service analytics capabilities.
• Communicate findings and strategic recommendations to C-level executives and senior management.
• Recruit, nurture, and lead data analysts and specialists as necessary.

Candidate Profile

• Possesses 8 to 12 or more years of experience in data analytics, business intelligence, commercial analytics, or customer analytics.
• Proven track record working across international markets or multiple countries.
• Preferred experience in Telecom, Mobile Network Operators, Mobile Virtual Network Operators, Technology, Digital sectors, or other high-volume B2C settings.
• Experienced in analyzing large-scale customer or subscriber data sets.
• Demonstrates strong commercial insight beyond technical or reporting skills.
• Advanced proficiency in SQL.
• Expertise in Power BI and/or Tableau for data visualization.
• Familiarity with Python and/or R for complex analytics is highly valued.
• Well-versed in data warehouse concepts, ETL and data pipeline processes, and cloud data platforms.
• Experience with predictive analytics, statistical modeling, and ideally AI or machine learning-based analytics.
• Capable of translating data analysis into clear, strategic business recommendations.
• Background in managing teams.
• Exceptional communication skills and ability to engage senior stakeholders effectively.