Business Analytics Lead

Role & responsibilities

1. ATM Performance Monitoring & Intelligence

• Oversee real-time, daily, weekly, and monthly performance reporting and dashboards, covering uptime, transaction volumes, error categories, profitability, and penalty exposure.
• Build automated dashboards and early warning alerts to track deviations from SLA and performance benchmarks.
• Drive insights-led discussions with operations, vendor management, and leadership teams.

2. Root Cause & Gap Analysis

• Lead in-depth root cause analysis of downtime incidents and performance dips across the ATM network.
• Identify systemic issues vendor, hardware, network, cash management, or process gaps and recommend targeted interventions.

3. Forecasting & Predictive Analytics

• Use historical transaction and uptime data to build predictive models for downtime, penalty exposure, and revenue
• variance.
• Conduct scenario planning and what-if analyses to guide deployment, maintenance, and commercial strategies.
• Partner with leadership to align analytics outcomes with business growth objectives.

4. Penalty & SLA Governance

• Govern the penalty calculation process for banks, vendors, and internal business units as per SLA terms.
• Analyze penalty trends, identify root causes, and support negotiation to minimize financial exposure through data-driven justification.
• Monitor vendor SLA adherence and drive performance accountability.

5. Strategic Reporting & Stakeholder Engagement

• Prepare board-level booklets, leadership decks, and operational dashboards summarizing network performance,penalty exposure, and business impact.
• Act as a bridge between business and analytics, enabling informed decision-making at all levels.

6. Tools & Data Expertise

• Champion the use of visualization and BI tools (Power BI, Tableau, Looker, or equivalent) to create insightful dashboards and analytics layers.
• Ensure advanced utilization of Excel, data transformation, and automation techniques to improve process efficiency.

Preferred candidate profile

• 10-15 years of experience in Service Assurance, Business Analytics, or ATM Managed Services Industry.
• Proven track record of leveraging analytics to drive operational efficiency and commercial outcomes.
• Strong understanding of ATM operations, SLA structures, penalty mechanisms, and transaction economics.
• Expertise in BI tools (Power BI/Tableau), advanced Excel, and forecasting techniques.