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Senior Manager Reporting & Analytics

Kinshasa, Kinshasa, CD

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Vodafone Group

What you’ll work on

Full posting
  • 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.

Tools in this posting

  • SQL
  • Excel
  • Oracle
  • Power BI
Source — Tool mentions in context
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.

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 2026 · 3 days ago
Recorded sightings
19
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on jobs.vodafone.com. The employer’s form will show what is required.

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Job description

View original posting ↗

## 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.
Source details

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Location & working pattern

Kinshasa, Kinshasa, CD

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