Act as the primary technology liaison for core business units and enabling functions across the organization. Deeply understand their defined challenges (e.g., market access, supply chain efficiency) and translate them into actionable technical requirements and solution architectures.
Facilitate discovery workshops to define use cases, assess technical feasibility, and build robust business cases for new data, BI, and AI initiatives.
Oversee the design, development, and rollout of enterprise-grade BI reports and dashboards utilizing Looker and PowerBI, ensuring they provide accurate, actionable insights for operational and executive teams.
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Collaborate with product managers to define hypotheses and design experiments aimed at improving the consumer experience.
Run A/B testing frameworks, quasi-experiments and statistical methodologies to measure the impact of product changes on main metrics such as user engagement, retention, and conversion rates.
Analyze experiment results to draw actionable insights and make data-driven recommendations for product iterations and enhancements.
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Design, develop, and maintain advanced Workday reports (simple, advanced, matrix, composite, trending), and dashboards for HR and business leaders, ensuring optimal performance and a user-friendly experience.
Build and maintain calculated fields to support custom reporting requirements.
Develop role-specific dashboards, worklets, and discovery boards tailored to different user groups.
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Manage day‑to‑day HR inquiries from employees and managers through the HR case management system and external HR mailbox.
Provide guidance on standard HR policies, procedures, employee movements, resignations, terminations, and general HR work rules. This includes handling employee grievances and complaints logged as Case, ensuring proper documentation, follow‑up, and timely closure; escalate sensitive or complex cases to HRBP or Functional Expert where appropriate.
Prepare and issue reference letters and other standard employee documentation upon request.
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Define and own the analytics roadmap, aligning it with MR DIY's business objectives and the broader digital transformation strategy.
Identify high-value analytics opportunities across merchandising, supply chain, store operations, finance, and customer/loyalty domains, and prioritise based on business impact.
Translate ambiguous business questions into structured analytics problems with clear success measures.
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Acts as a focal point for communicating related system issues within the department and collaborates with other business teams and vendors on new initiative, changes, fixes, and updates.
Works closely with business units (Eg: Sales, Commercial, Finance, Procurement, Production, others support function) in identifying, evaluating, selecting, and implementing specific business technologies that support the business plans and IT strategies.
Design, prepare strategies, develop and implement the data solution, roadmap, infrastructure of Mamee.
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Collects and analyzes data related to store operations, including sales figures, shrinkage, labor hours, ordering, and process compliances
Prepares regular reports and dashboards that summarize the operational performance of the stores Collaborate with teams to optimize processes based on data insights and predictive analytics.
Conduct root cause analysis for operational challenges and provide recommendation to optimize store operation
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Analyse complex retail inventory, replenishment and allocation problems involving stores, SKUs, stock, sales, warehouse supply, lead time, festivals and other business conditions.
Take ownership of analysis from problem understanding, data identification and validation through analysis, findings, recommendations and follow-up.
Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
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Analyse complex retail inventory, replenishment and allocation problems involving stores, SKUs, stock, sales, warehouse supply, lead time, festivals and other business conditions.
Take ownership of analysis from problem understanding, data identification and validation through analysis, findings, recommendations and follow-up.
Use SQL, Python/pandas, Excel and BI tools to process, analyse and visualise large datasets.
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Execute, monitor, and optimize paid media campaigns across platforms such as Google Ads, Meta Ads, TikTok Ads, and other digital channels.
Analyze campaign performance and translate data into actionable insights to improve return on ad spend (ROAS), conversion rates, and overall marketing effectiveness.
Develop audience targeting and segmentation strategies to maximize reach, engagement, and customer acquisition.
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