1) Pricing Strategy Development: Collaborate with cross-functional teams to develop pricing strategies that align with business objectives and market dynamics. Conduct competitive analysis, market research, and customer segmentation to inform pricing decisions.
2) Demand Forecasting: Develop accurate demand forecasts for products and services based on historical data, market trends, and business insights. Collaborate with sales, marketing, and product teams to incorporate input and ensure alignment with sales and revenue targets.
3) Performance Analysis: Conduct comprehensive analysis of pricing performance, sales trends, and customer behaviour using statistical methods and data visualization tools. Identify key drivers of revenue and margin variance and provide actionable insights to drive business decisions.
4) Data Management and Reporting: Manage and maintain product and services data repositories, ensuring data accuracy, completeness, and integrity. Generate regular reports and dashboards to communicate product performance, forecast accuracy, and key metrics to stakeholders at all levels of the organization. Establish and enforce data governance and quality standards to ensure the accuracy and reliability of information.
5) Cross-Functional Collaboration: Work closely with sales, marketing, finance, and product teams to align pricing strategies with overall business goals. Simulate on promotional campaigns, product launches, and pricing changes for revenue growth sensitivity.
6) Continuous Improvement: Stay abreast of industry best practices, emerging trends, and technological advancements in pricing and analytics. Recommend process improvements, tools, and methodologies to enhance pricing effectiveness, forecast accuracy, and analytical capabilities.
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; Requirements:- 1) Bachelor's in Business, Computer Science, Statistics, or a related field. Any data analytics certificate is a plus.
2) Minimum 5 years of related working experience in business intelligence, data analysis, or a related role in the financial industry.
3) Demonstrated proficiency in BI tools, in particular Microsoft Power BI.
4) Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
5) Experienced in handling product analysis and financial analysis.
6) Capability to produce product performance model and financial forecast model based on historical data and business projection.
7) Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
8) Solid understanding of data management principles, data warehousing, and Extract, Transform, Load (ETL) processes.
9) Familiarity with database technologies (preferably SQL) and data visualization techniques.
10) Proactive and results-oriented mindset with a focus on continuous improvement.
11) Ability to work in a dynamic, fast-paced environment and manage multiple priorities