Consultant – Business Intelligence & Customer Analytics

Mission/ Core purpose of the Job :

• We are seeking a seasoned and experienced data-driven Consultant – Business Intelligence & Customer Analytics to lead the centralization, analysis, and strategic deployment of business intelligence and customer analytics initiatives across the organization. This role demands a technically adept professional who can not only synthesize complex data into actionable insights but also guide stakeholders across commercial, product, and strategy functions with data-led decision-making.
• The successful candidate will be responsible for the design and orchestration of BI frameworks, customer segmentation strategies, and performance monitoring tools, with a strong focus on driving commercial growth, retention, and profitability.

Key Tasks:

1. Business Intelligence Governance & Infrastructure

• Lead the centralization of all Business Intelligence (BI) assets including dashboards, scorecards, and KPI tracking tools across departments.
• Ensure BI reporting standards, metadata definitions, and data governance protocols are consistently applied.
• Partner with data engineering teams to ensure availability, integrity, and optimization of underlying data structures.

2. Advanced Analytics & Machine Learning

• Build predictive models for churn, CLV (Customer Lifetime Value), ARPU optimization, and product recommendation engines.
• Apply advanced statistical and Machine Learning techniques (clustering, regression, survival analysis, gradient boosting, neural networks) for segmentation and retention.
• Deploy and monitor models in production environments, collaborating with MLOps and engineering teams.
• Lead A/B and multivariate testing frameworks to evaluate campaign, pricing, and product interventions.

3. Enterprise BI Strategy & Enablement

• Architect self-service BI ecosystems, empowering commercial and product teams to access governed, high-quality data.
• Standardize semantic layers and KPI definitions to create a single source of truth across the organization.
• Automate reporting pipelines and alerts for proactive performance management.

4. Performance Monitoring & Reporting

• Design, automate, and maintain enterprise-grade analysis and dashboards to monitor Price Per Minute (PPM), ARPU, and other core KPIs across voice, data, and digital services.
• Measure campaign effectiveness, price elasticity, and product adoption.
• Perform advanced trend analysis and statistical modeling on performance metrics to identify patterns, anomalies, and elasticity drivers, enabling data-driven optimization of product portfolios, pricing strategies and CVM campaigns.
• Monitor and analyze KPI performance against budget and forecast targets, identifying underperforming products, segments, or geographies; conduct profitability assessments of investments, sites, and commercial initiatives to recommend corrective actions and optimize ROI.

5. Retention & Churn Management

• Support designing data-driven retention strategies by analyzing lifecycle behaviors, campaign effectiveness, and churn drivers across segments.

6. RGS (Revenue Generating Subscribers) Analysis

• Conduct advanced RGS segmentation and cohort analysis to evaluate subscriber monetization, lifecycle behaviors, and contribution to ARPU and margin.
• Track RGS performance vs. acquisition, retention, and churn targets, identifying high-value clusters and underperforming segments to guide commercial strategy.
• Measure profitability at subscriber and product level, linking RGS dynamics to investment decisions and ROI optimization.

Interested applicants can send their applications and resumes (with three valid references) by Sep 26, 2025.
Please mention the name of the position you are applying for in your email subject line.
Applications received after the deadline and those that do not meet the requirements mentioned above will not be considered.
Only shortlisted candidates will be contacted for the interview(s).

careers@atoma.com.af