Performance & Analytics Manager

Homzmart

Data Strategy & Governance

• Own and continuously enhance Homzmart s analytics framework, ensuring a single source of truth for all business KPIs.

• Define, document, and standardize metric definitions across commercial, marketing, and operations functions.

• Drive the integrity and consistency of all data sources and dashboards used for business reviews and decision-making.

Business Performance Analytics

• Partner with senior leadership to monitor and analyze company performance across GMV, Items, AOV, and operational efficiency.

• Deliver daily, weekly, and monthly performance reporting packs with actionable insights and trend analysis.

• Conduct post-campaign, regional, and category performance reviews to identify growth opportunities and operational gaps.

• Translate analytical findings into clear business narratives to support strategic planning.

Forecasting & Predictive Modeling

• Lead the development of Homzmart s forecasting models to project GMV, item sales, and marketing-driven outcomes.

• Build machine learning models integrating seasonality, pricing, discounting, and external market factors such as currency and inflation.

• Develop scenario-based forecasting tools to simulate business performance under different budget or campaign settings.

Cross-Functional Collaboration

• Work closely with product, sales, and technology teams to align marketing efforts with overall business objectives.

• Communicate performance insights and recommendations effectively to all relevant stakeholders.

• Build and maintain analytics frameworks that monitor production performance, warehouse capacity, and SLA achievement.

• Deliver actionable insights to improve operational planning, reduce bottlenecks, and optimize fulfillment efficiency.

Automation & Tooling

• Automate recurring reports and streamline manual workflows using Python, SQL, and BI tools.

• Ensure that all analytics outputs are scalable, well-documented, and aligned with Homzmart s data standards.

Leadership & Stakeholder Enablement

• Mentor junior analysts and upskill cross-functional teams on data literacy and analytical best practices.

• Act as a bridge between business and technical teams, ensuring alignment on data priorities and performance goals.

• Foster a proactive, insight-driven culture across the organization.