Manager – Data Analytics (Control Tower)

Banyan Nation; Hyderabad; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Banyan Nation’s Control Tower hosts the analytics function that drives visibility across supply chain and operations. We seek a seasoned analytics leader to own data governance, predictive insights, and automated reporting, enabling real-time decisions and measurable operational impact.

The role demands 10–15 years in supply chain data analytics, strong cross-functional collaboration, and the ability to translate analytics into actionable business outcomes across procurement, logistics, factory

Qualifications

• Bachelor’s degree in Statistics, Data Science, Engineering, Supply Chain, or related field.
• 10–15 years of experience in supply chain data analytics.
• Proven track record of predictive models and automation frameworks.
• Experience working with senior leadership stakeholders.
• Own supply chain and manufacturing data integrity.
• Enable real-time analytics and decision support.
• Align analytics outcomes with operational requirements across departments.
• Translate data into actionable business insights.

Responsibilities

• Own end-to-end data integrity across ERP, Zoho, and BI platforms.
• Define validation rules, reconciliation logic, and governance frameworks.
• Create proactive risk dashboards for leadership.
• Architect automated dashboards and reporting pipelines.
• Reduce manual effort through SQL, Python/R, and BI automation.
• Integrate ERP, Zoho, and BI layers into unified reporting.

Skills

Advanced Excel

Power Query

SQL

Python or R

Manufacturing analytics

Education

Bachelors degree

Tools

ERP systems

BI platforms

Zoho

Job description

The role operates within Banyan Nation’s Control Tower, the central analytics function driving visibility across supply chain and operations. We are looking for a seasoned analytics leader to drive data governance, predictive insights, and automated reporting across the organization. This role will ensure data accuracy, enable real-time decision-making, and deliver measurable operational impact through advanced analytics and cross-functional collaboration.

Role Overview:

We are looking for a seasoned analytics leader with 10–15 years of experience in supply chain data analytics to drive enterprise-wide data governance, predictive intelligence, and automated reporting as part of the Control Tower function, enabling real-time operational decision-making. This role will own supply chain data accuracy, automation architecture, predictive risk frameworks, and executive dashboards.

Enterprise Data Governance & System Ownership

• Own end-to-end data integrity across ERP, Zoho, and BI platforms
• Ensure ≥98% data sync accuracy and <24-hour latency
• Define validation rules, reconciliation logic, and governance frameworks
• Act as single source of truth for supply chain operational data
• Own vendor & RM master traceability and compliance

Advanced Supply Chain Analytics & Business Impact

• Analyze procurement, logistics, inventory, QC, cost, Production & Supplier analysis
• Drive margin protection through rejection and cost-to-serve analytics
• Translate analytics into measurable operational improvements
• Build predictive and rule-based models
• Create proactive risk dashboards for leadership
• Architect automated dashboards and reporting pipelines
• Reduce manual effort through SQL, Python/R, and BI automation
• Integrate ERP, Zoho, and BI layers into unified reporting

Executive Reporting & Governance Enablement

• Design structured RAG dashboards by SKU, region, and team
• Present insights to COO and functional heads

Cross-Functional Business Partnership

• Partner with Procurement, Logistics, Factory Ops, Sales, Finance.
• Align analytics outputs with operational workflows
• Act as bridge between business and digital platforms
• Act as a Control Tower partner by connecting data insights with business requirements across departments.

Analytics Capability Building

• Standardize KPI definitions and RCA frameworks
• Improve analytics maturity and data literacy
• Stay updated on AI and supply chain digitization practices

Technical Skills

• Excellent Advanced Excel skills with strong Power Query expertise
• SQL (advanced joins, data validation, reconciliation logic)
• Python or R for automation and predictive analytics
• Strong understanding of manufacturing and supply chain analytics

Qualifications

• Bachelor’s degree in Statistics, Data Science, Engineering, Supply Chain, or related field
• 10–15 years of experience in supply chain data analytics
• Proven track record of predictive models and automation frameworks
• Experience working with senior leadership stakeholders
• Own supply chain and manufacturing data integrity
• Enable real-time analytics and decision support
• Align analytics outcomes with operational requirements across departments
• Translate recycling manufacturing data into actionable business insights