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
