Performance & Analytics Manager

The Performance & Analytics Manager plays a key role in leading Homzmarts data-driven performance management and forecasting initiatives. The role oversees the full analytics lifecycle from data strategy and KPI alignment to predictive modeling and performance optimization ensuring that every decision across the business is backed by accurate actionable insights.

Key Responsibilities

Data Strategy & Governance

• Own and continuously enhance Homzmarts 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 Homzmarts 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 Homzmarts 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.

Key Achievements in Role

• Built Homzmarts machine learning forecasting engine for GMV and SKU-level projections.

• Unified KPI definitions and automated performance dashboards across commercial and marketing teams.

• Introduced new analytical frameworks for production fulfillment and campaign evaluation.

• Supported strategic planning with predictive insights linking business targets to marketing and operational outcomes.

Qualifications:

• Bachelors degree in Economics Statistics Data Science or related field.

• 46 years of experience in Analytics Business Intelligence or Performance Management preferably in e-commerce or digital business.

• Strong command of:

  • SQL (data modeling query optimization)

  • Business Intelligence tools (e.g. Amazon QuickSight Google Looker Studio or similar)

  • Excel / Google Sheets (analytical modeling and automation)

• Solid business understanding of e-commerce KPIs growth levers and performance tracking.

• Excellent communication and data storytelling skills.

• Proven track record of driving significant improvements in marketing performance and ROI.

• Strong analytical skills with proficiency in data analysis tools (e.g. Excel SQL Google Analytics Adjust).

• Experience with A/B testing and conversion rate optimization (CRO) methodologies.

• Excellent communication and presentation skills with the ability to translate complex data into clear actionable insights.

• Ability to work independently and as part of a team in a fast-paced environment.

Additional Information:

Preferred Skills

• Advanced Python proficiency for data modeling feature engineering and automation (Pandas Polars Streamlit ML frameworks)

• Experience with predictive modeling and demand forecasting using machine learning.

• Familiarity with data visualization design and dashboard scalability.

• Strong business acumen with the ability to translate analytics into strategic recommendations.

Success Indicators

• Company KPIs fully standardized and aligned across all departments.

• Automated reporting ecosystem with minimal manual intervention.

• Forecasting accuracy continuously improves across business cycles.

• Data-driven culture embedded in decision-making across teams.

Remote Work:

No

Employment Type:

Full-time