Own the CBU reporting framework, governance calendar and performance standards
Lead Power BI dashboard design and automation using SQL, Excel and Oracle
Lead diagnostic deep dives on revenue, churn and pricing to recommend actions
Validate commission calculations and reconcile them with Finance and Billing
Coach and develop reporting and analytics team members
From the employer’s posting
Own the CBU reporting and performance-management framework, governance calendar and standards
Lead the design, automation and continuous improvement of Power BI dashboards, scorecards and analytical products using SQL, Excel, Oracle and enterprise data platforms.
Lead diagnostic deep dives that explain variances and performance drivers and convert findings into practical recommendations for growth and operational improvement.
Ensure commission calculations and incentive reports are validated and support reconciliation and payment verification with Finance and Billing.
Lead, coach and develop reporting, business intelligence, business-performance and sales-analytics resources.
Education & alternatives
## Must have technical / professional qualifications:
• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science or a related field; postgraduate qualification is an advantage. • Advanced Power BI, SQL and Microsoft Excel. • Working knowledge of Oracle databases, data warehouses, data modelling, ETL and data-validation techniques. • Experience in forecasting, statistical analysis, dashboard development and business-case evaluation. • Telecommunications or another data-intensive industry experience for at least 5 years.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
SQL
Excel
Oracle
Power BI
Where the posting names them
Business intelligence, dashboards and automation
• Lead the design, automation and continuous improvement of Power BI dashboards, scorecards and analytical products using SQL, Excel, Oracle and enterprise data platforms.
• Define self-service analytics, data visualisation and reporting solutions that improve access, adoption, consistency and speed of decision-making.
## Must have technical / professional qualifications:
• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science or a related field; postgraduate qualification is an advantage. • Advanced Power BI, SQL and Microsoft Excel. • Working knowledge of Oracle databases, data warehouses, data modelling, ETL and data-validation techniques. • Experience in forecasting, statistical analysis, dashboard development and business-case evaluation. • Telecommunications or another data-intensive industry experience for at least 5 years.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
## Role purpose
To lead CBU reporting, business intelligence and analytics, delivering trusted performance visibility and actionable insights that enable commercial growth, operational excellence and effective strategic decision-making.
## Key accountabilities and decision ownership
CBU reporting and performance management
• Own the CBU reporting and performance-management framework, governance calendar and standards for executive, commercial, sales, operational and regional reporting.
• Lead day-on-day, week-on-week, month-to-date, month-on-month, year-to-date and year-on-year analysis to identify trends, gaps, risks and opportunities.
Business intelligence, dashboards and automation
• Lead the design, automation and continuous improvement of Power BI dashboards, scorecards and analytical products using SQL, Excel, Oracle and enterprise data platforms.
• Define self-service analytics, data visualisation and reporting solutions that improve access, adoption, consistency and speed of decision-making.
Commercial and customer performance insights
• Oversee analysis of revenue, average revenue per user, customer base, usage, acquisition, churn, traffic, offers, products, promotions and pricing performance.
• Lead diagnostic deep dives that explain variances and performance drivers and convert findings into practical recommendations for growth and operational improvement.
• Evaluate campaigns, product launches, pricing actions and commercial initiatives through pre- and post-performance assessments.
Sales, distribution and regional analytics
• Provide end-to-end visibility of connections, activations, SIM registration, airtime sales, gross additions, channel performance and point-of-sale productivity.
• Oversee analysis of field execution across regions, territories, distributors, channels, routes and points of sale, including coverage, outlet productivity and distribution effectiveness.
• Monitor Distribution Management System performance and deliver actionable insights to Sales Operations and regional leadership.
Commissions and incentive performance
• Oversee the monitoring and evaluation of sales commission and incentive schemes, including implementation, effectiveness and performance outcomes.
• Ensure commission calculations and incentive reports are validated and support reconciliation and payment verification with Finance and Billing.
## Data governance, quality and control
• Establish data definitions, validation, reconciliation and control standards that create a reliable single source of truth.
• Ensure accuracy, completeness, consistency and integrity across reports, dashboards, analytical models and management submissions.
• Lead resolution of material data-quality issues with Technology, Finance and business data owners.
Stakeholder partnership and executive decision support
• Act as the senior analytics partner to Commercial, Finance, Sales, Marketing, Customer Value Management, Network, Strategy and regional leadership.
• Translate complex data into concise executive insights, recommendations and decision papers tailored to stakeholder needs.
• Align performance analysis and reporting priorities with business objectives and strategic initiatives.
## Team leadership and capability development
• Lead, coach and develop reporting, business intelligence, business-performance and sales-analytics resources.
• Set team priorities, quality standards and delivery expectations while building succession, analytical capability and a high-performance culture.
• Promote data-driven decision-making, analytical discipline, innovation and continuous improvement across the organisation.
## Core competencies, knowledge and experience:
• Extensive experience in BI, analytics, reporting and commercial performance management.
• Strong telecom commercial, sales, distribution and financial acumen.
• Proven ability to translate complex data into concise executive insights and recommendations.
• Leadership experience with strong stakeholder influence across senior and cross-functional teams.
• High analytical rigour, strategic thinking, judgement and attention to detail.
## Must have technical / professional qualifications:
• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science or a related field; postgraduate qualification is an advantage.
• Advanced Power BI, SQL and Microsoft Excel.
• Working knowledge of Oracle databases, data warehouses, data modelling, ETL and data-validation techniques.
• Experience in forecasting, statistical analysis, dashboard development and business-case evaluation.
• Telecommunications or another data-intensive industry experience for at least 5 years.