This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Senior Manager, Reporting & Analytics will lead a team of Senior Business Analysts responsible for delivering standadrdized reports and dashboards, actionable insights, identifying key performance drivers, and enabling data-informed decision-making across the all the core mobility products (Multiple products with millions of subscribers and Billions of dollars P&L). This role serves as a strategic partner to both commercial and product leadership, translating complex data into clear, compelling business narratives that move beyond dashboards to explain the “why” behind performance. The team delivers financial, commercial, product, and operational reporting solutions while conducting in-depth analyses that uncover trends, risks, opportunities, and whitespace for growth. Success in this role is measured by the accuracy, timeliness, and depth of insights delivered — as well as the team’s ability to influence decisions through clear and impactful communication.
Job Responsibility:
Lead and develop a high-performing team of analysts focused on delivering high-quality reporting, insights, and decision support
Own the design, development, and evolution of reporting frameworks and data models that provide visibility into financial, commercial, product, and operational performance
Translate complex quantitative and qualitative data into actionable insights that clearly articulate drivers behind KPIs and business outcomes
Drive advanced analysis, including whitespace and opportunity analysis, trend forecasting, and root-cause diagnostics
Partner closely with Product, Commercial, FP&A, Finance, Strategy, and Channel teams to ensure reporting aligns with business priorities and strategic objectives
Oversee the integration of front-end, back-end, and enterprise data systems to create scalable, accurate, and user-friendly reporting solutions
Present findings and strategic recommendations to leadership in clear, concise, and visually compelling formats tailored to diverse audiences
Standardize and administer enterprise reporting solutions to ensure consistency, governance, and data integrity across stakeholders
Construct executive-level presentations and present complex analytical findings in clear, concise and decision-impacting manner
Collaborate with leadership to deliver reporting solutions & deep analytics that drive financial, commercial, product and operational results
Partner with cross functional teams and data COE teams to develop data architectures that meet analytics and reporting requirements
Design and oversee the creation of reporting solutions, holistic dashboards (from various data sources) with key metrics in accessible formats
Own the process of driving core insights from available data and provide analysis, including identifying business risks and opportunities and making recommendations to the team and business owners
Lead and develop the analytics team to produce timely, high-quality analyses that inform program effectiveness
Conduct competitive analysis to inform offers & processes
Respond and produce additional ad hoc reporting analysis requests and assignments as required
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Bachelors degree in Data analysis, data science, decision science, statistics, or similar quantitative fields and 7 years of related work experience OR a combination of education and experience deemed equivalent
Business intelligence tools (eg Business objects, cognos, Hyperion etc)
Reporting and analyzing performance & data visualization (Tableau, Power BI, etc.)
Advanced analytics including SQL/ETL, analysis of complex datasets, competitive analysis, quantitative analysis & research
2-4 years Managing a team of finance or analytics professionals
SQL or database management experience
Financial Analysis & Financial Modelling
Database Skills
Microsoft Office skills
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
4-7 years Python, R, Go or similar statistics or data science programming experience
Telecommunication
Relevant experience preferred in one or more of the following (or related) categories: telecommunications, consumer electronics, and/or reverse logistics