Senior Data Analyst

Key Responsibilities:

• Integrate data from various sources to create a comprehensive view of the SMS, Flashcall and Omnichannel performance
• Analyse large datasets to identify trends, patterns, correlations, and anomalies.
• Partner with cross-functional teams to deliver automated reporting and dashboards
• Create data visualizations and reports to present data-driven insights.
• Apply statistical methods and data visualization techniques to present findings.
• Document data analysis processes, methodologies, and results for future reference.
• Collaborate with cross-functional teams to integrate data from different sources/platform and help create a unified view
• Conceptualize and run analyses that generate insights on traffic pattern to help further develop and improve market position.
• (Potentially short term/until platforms harmonization) Supervise a BPO team in charge of suppliers cost management, coach team and support automation of the process

Data analysis and modeling:

• Extract, clean, and transform complex pricing data from various sources (CRM, sales data, market research).
• Build statistical models and predictive algorithms to forecast pricing impacts on revenue and profitability.
• Analyze customer segmentation data to identify price sensitivity and optimal pricing tiers.

Pricing strategy development:

• Identify market trends and competitor pricing to inform pricing strategy adjustments.
• Develop and evaluate different pricing models (cost-plus, value-based, competitive) based on market analysis.
• Conduct sensitivity analysis to assess the impact of pricing changes on key metrics.

Business collaboration:

• Partner with sales teams to identify pricing opportunities and address customer pricing concerns.
• Collaborate with marketing to align pricing strategies with product positioning and promotions.
• Present data-driven insights and pricing recommendations to senior management.

Reporting and visualization:

• Create comprehensive pricing reports and dashboards to monitor performance and identify areas for improvement.
• Utilize data visualization tools to effectively communicate complex pricing insights to stakeholders.

Skills Qualification:

Education:

A bachelor s degree in a relevant field like statistics, computer science or business

Technical skills:

• Advanced proficiency in SQL, data manipulation and analysis tools (e.g., Python, R)
• Experience with statistical modeling techniques (regression analysis, GLM)

Business acumen:

• Strong understanding of pricing theory and market dynamics
• Awareness of business goals and financial metrics relevant to pricing decisions
• Ability to translate data insights into actionable business recommendations

Communication skills:

• Excellent written and verbal communication skills to effectively present complex data analysis to diverse audiences
• Ability to collaborate effectively with cross-functional teams