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Senior Performance and Consumer Insight Analyst / 3 weeks, 2 days ago

16Street Sinkor, Mali,

Salary: Negotiable

Application ends: March 16, 2026

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Overview & Description:

Drive business performance in a telecom environment by translating large-scale customer and network/commercial data into actionable insights. The role leads KPI governance, performance monitoring, deep-dive diagnostics, and supports decision-making on growth levers (acquisition, activation, usage, retention, monetization). It also strengthens consumer behavior analytics, including customer affinity/propensity detection to optimize targeting, personalization, and campaign ROI.

Responsibilities:

Performance Management & KPI Governance:

• Own and continuously improve the KPI framework (revenue, subscriber base, ARPU, churn, usage, bundles, recharge, Mobile Money, B2B, distribution productivity, etc.).
• Deliver daily/weekly/monthly performance packs: executive summary, trends, drivers, risks, and recommended actions.
• Establish data quality checks, KPI definitions, and reconciliation with Finance where required.
• Build alerting mechanisms (thresholds, anomaly detection) to identify early performance deviations.

Consumer Behavior Analytics & Customer Insights:

• Analyze customer behavior across the lifecycle: acquisition → onboarding → usage → engagement → retention → revenue.
• Build and maintain behavioral segmentation (e.g., RFM, value tiers, usage profiles, digital adoption, price sensitivity, device/network profile).
• Identify customer appetence/affinity (propensity) for products/services such as: • Data bundles (daily/weekly/monthly), voice packs, roaming, value-added services
• Mobile Money use cases (cash-in/cash-out, P2P, merchant payments)
• 4G migration offers, handset financing, home broadband (if applicable)
• Develop propensity models and business rules to predict the likelihood of:
• Buy/upgrade/upsell/cross-sell
• Churn/inactivity
• Recharge frequency increase
• Channel preference (USSD vs App vs agents)
• Translate insights into next-best-offer/next-best-action recommendations and targeting lists in collaboration with Marketing/CRM.

Campaign Effectiveness & Incrementality Measurement:

• Measure marketing/CRM campaign impact using robust methods:
• A/B testing, holdout/control groups, uplift modeling, cohort analysis
• Incremental revenue, conversion, retention uplift, payback period, ROI
• Provide post-campaign learnings and optimize targeting, creatives, offer structure, and timing.

Revenue & Base Drivers Deep Dives:

• Lead root-cause analyses for performance drops or growth gaps:
• ARPU erosion, churn spike, usage decline, bundle cannibalization, pricing issues
• Currency mix impact (if multi-currency), distribution constraints, network constraints
• Build driver trees/waterfalls (Price x Volume x Mix) and decomposition views (new vs existing base, active vs inactive, product mix).

Forecasting, Budget Tracking & Business Cases:

• Support forecasting and planning for subscriber base, usage, and revenue.
• Build scenarios and business cases for new offers, pricing changes, network expansion, distribution initiatives, partnerships,
• Track performance vs budget/forecast and explain variances with clear narratives.

Data, BI & Automation:

• Extract, transform, and analyze big datasets using SQL; contribute to data marts and metric layers.
• Build and maintain dashboards in Power BI/Tableau/Looker and automated reporting pipelines.
• Work closely with Data Engineering/IT to improve source systems, data availability, and documentation.

Stakeholder Management & Leadership:

• Act as a trusted business partner to executives and functional leaders.
• Present insights clearly and influence decisions through strong storytelling and visualizations.
• Mentor junior analysts on KPI definitions, SQL/BI best practices, and analytical rigor.

Requirements:

Education:

• Bachelor’s/Master’s inData/Statistics/Economics/Engineering/Finance /Computer Science (or equivalent).
• Minimum of 3–5+ years in performance analytics, BI, revenue management, or consumer insights (telecom preferred).

Experience:

• Advanced SQL (window functions, performance tuning, data modeling)
• BI tools: Power BI / Tableau / Looker
• Advanced Excel (Power Query, models, automation)
• Python or R (preferred) for modeling/automation (segmentation, propensity, churn)
• Familiarity with telecom KPIs and customer lifecycle analytics.

Additional Information:

Key Deliverables: •

• Daily/Weekly/monthly performance dashboards & executive decks
• Consumer insights reports (segments, cohorts, behavioral trends)
• Propensity/affinity models or rule-based scoring frameworks + targeting recommendations
• Campaign ROI & incrementality reports
• Revenue driver trees and variance analysis packs
• Forecast and business case support materials
• Success Metrics (Examples)
• Reporting accuracy and timeliness (SLA adherence, reconciliation pass rate)
• Number of insights converted into actions and measured business impact
• Improved campaign ROI and conversion rates through better targeting
• Reduction in churn / increase in ARPU / increase in data or OM adoption (as applicable)
• Increased stakeholder adoption of dashboards and KPI governance standards

JOB SPECIFIC COMPETENCIES

• Strong analytical thinking and structured problem-solving
•  Excellent communication, executive-level storytelling, and stakeholder influence
• Ownership mindset, attention to detail, and ability to deliver under deadlines
• Ability to work cross-functionally in a fast-paced environment

How to Apply:

Please submit via email your letter of application along with your recent curriculum vitae as well as copies of your academic credentials to [email protected]

Please note the following:

• Only shortlisted candidates will be contacted
• Female applicants are highly encouraged to apply.

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