Sales Analytics Specialist

2 days ago

Hong Kong Island, Hong Kong SAR China NTT Full time

Participates in tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives. Responsible for analyzing complex business problems and issues using internal and external data to provide insights to decision-makers. Identifies and interpret trends and patterns in relevant datasets to locate influences and proactively identify meaningful quantitative analysis for distribution to business stakeholders to inform business decisions. Creates documented specifications for reports and analysis based on business needs and required or available data elements. Defines, develops, enhances, and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends. Responsible for data validation using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights. Supports the team answer strategic questions, make insightful data-driven business decisions, and properly design new initiatives. Priovides technical advice, consultation, and knowledge to others within the relevant teams. Creates relevant reports and present on trends to convey actionable insights to stakeholders. Performs any other related task as required. Knowledge, Skills and Attributes: Seasoned understanding of advanced data analysis techniques, and the ability to uncover strategic insights from data. Seasoned understanding of the business's sales objectives, market dynamics, and industry trends, with the ability to align data analysis with strategic objectives. Seasoned collaboration skills, enabling effective teamwork with cross-functional teams and senior management. Seasoned ability to translate complex data insights into actionable, understandable strategies for non-technical stakeholders. Excellent communication and presentation skills to convey complex data findings in a clear and actionable manner to non-technical stakeholders. Seasoned understanding of data analysis tools including advanced Excel, advanced PowerBI, and at least one relevant coding language (for example DAX, R, Python etc.). Seasoned understanding of Structured Query Language for managing and querying relational databases. Seasoned knowledge of techniques for transforming and structuring data for analysis and knowledge of ETL processes for data extraction and transformation. Advanced understanding of data security and privacy best practices, especially if working with sensitive or sensitive data. Seasoned understanding of the business domain, industry, and the ability to translate data insights into actionable business recommendations. Academic qualifications and certifications: Bachelor's degree or equivalent in Data Science or related field. Required experience: Seasoned demonstrated experience in a sales or marketing function as a data analyst. Seasoned demonstrated experience in using PowerBI, statistical and quantitative analysis techniques, data visualizations, data analysis. Seasoned proven track record in creating and optimizing reports and dashboards that contribute to strategic decision support. Seasoned proven experience in providing data-driven support for business planning and strategic decision-making....... #J-18808-Ljbffr

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