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Manager, Data and Analytics

Salary undisclosed

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1) Establish data governance, collection, consolidation, and processing framework as per data lifecycle management. 2) Data Management and Reporting: Manage and maintain product and services data repositories, ensuring data accuracy, completeness, and integrity. 3) Lead in business reporting and analytic. 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. 4) Cross-Functional Collaboration: Work closely with sales, marketing, finance, and product teams to align pricing strategies with overall business goals. 5) Champaign data-driven decision-making processes and input to cross-functional teams. 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. Job 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.