Consultant – Business Intelligence

Job Summary:

• Consultant – Business Intelligence & Customer Analytics
  leads 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 guides 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.

Main 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.

Minimum Requirements

Education:

• Master's degree in business Intelligence, Data Science, Economics, Statistics, or a related technical discipline.

Experience:

• Minimum of
  10+ years
  of experience in Business Intelligence, Data Analytics, or Customer Insights, preferably within the
  telecommunications or digital services industry
  .
• Proven expertise with BI tools (e.g.,
  Power BI, Tableau,…
  ) and data manipulation using
  Advanced
  SQL, Python, or R
  .

Training:

·      Microsoft Certified: Data Analyst Associate / Power BI

• Google Data Analytics Professional Certificate
• Certification in SQL, Python, or Data Engineering (optional but advantageous)

Knowledge:

• Strong knowledge of data modeling, customer lifecycle analysis, and predictive analytics.

Skills / physical competencies:

• Demonstrated ability to translate data into actionable strategies and influence cross-functional decision-making.
• Exceptional communication, stakeholder management, and presentation skills.

Submission guidelines.

• Interested applicants can send their applications and resumes (with three valid references) by Sep 26, 2025 to
  
• 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).