
Senior Commercial Data Analyst
- 上海市
- 长期
- 全职
- Develop data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
- Partner with local and global to drive analytics and reporting outcomes
- Empower end-users to ask their own questions of company/industry data through development and deployment of self-service reporting
- Capture user requirements for standard reports. Define user requirements and work with users to execute projects to meet requirements
- Partner closely with business stakeholders to proactively identify opportunities, deliver actionable insights, and influence strategic decision-making through data.
- Translate complex data into clear, compelling narratives that guide business partners, shape strategies, and drive measurable outcomes.
- Serve as an escalation point for all incoming customer master related queries and data issues originating due to data quality
- Perform root cause analysis and resolution as necessary
- Actively seek opportunity to improve Master Data processes and efficiency
- Escalate well defined reports to global analytics team for global rollout
- Act as voice of global analytics team within region and vice versa
- Coordinate testing, lead rollout and education for new analytics functionality with relevant stakeholders
- Work closely with business stakeholders to understand business need and requirements
- Create and maintain user personas, use-cases, and business requirements documents
- Engage key stakeholders and business partners to implement lean process and procedures to adopt at operational level
- Work with people from a variety of nationalities and cultures across the Asia Pacific commercial team.
- Manage the team workload, performance, risk mitigation, staffing and training to make sure there is appropriate support to maintain service level expectations.
- Strong interpersonal skills and proven experience in building successful partnerships with business and technical groups.
- Outstanding communication skills and ability to convey complex ideas in a simple to understand manner, with demonstrated abilities in data storytelling.
- Demonstrated ability to understand new datasets and data structures and synthesize data into actional information. Working proficiency with complex data from multiple data sources and building dashboards.
- Knowledge of relational and dimensional database structures, theories, principles, and practice.
- Exceptional analytical, conceptual, and problem-solving abilities. Ability to work creatively and analytically in a problem-solving environment.
- Ability to creatively take on new challenges and work outside their comfort zone.
- Highly self-motivated to deliver both independently and with strong team collaboration in complex cross-functional teams.
- Excellent organization and time management skills. Demonstrated capability to use sound project management methods in managing development backlog. Ability to work under pressure to targets or deadlines.
- Excellent attention to detail, working to a high level of accuracy.
- Minimum of 5+ years of progressive hands-on experience in business intelligence, reporting, and analytics through continuous, focused experience in the build, customizing and publishing of Tableau interactive reports, visualizations, dashboards and stories.
- Bachelor’s Degree desired in Computer Science, Information Technology, Information Systems, Business or related field.
- Previous experience within a client or customer facing role (e.g. sales, sales operations, customer service or commercial support) is preferred.
- Experience in supporting Operations and/or Sales functional reporting a plus.
- Strong experience with Tableau (Tableau Desktop required, Tableau Server a plus).
- Experience with Salesforce or other CRM platforms a plus.
- Intermediate knowledge of SQL. Knowledge of Python and R a plus.
- Proficiency in Snowflake and a solid understanding of core data engineering principles, including data modeling, ETL/ELT processes, and data pipeline orchestration.
- Experience in advanced techniques in predictive modelling including machine learning a plus.
- Strong written and verbal communication skills in English and Mandarin.
- Thorough knowledge of Microsoft Office and Outlook and possess an innate ability to navigate through new software applications.