What are the responsibilities and job description for the Adobe:Voice of the Customer Data Analyst position at HiTalent?
Collect and consolidate customer data from various sources, ensuring data accuracy and completeness. Use data analysis tools and techniques to process large datasets effectively. Analyze customer feedback and sentiment to identify trends, patterns, and potential issues.
If you want to know about the requirements for this role, read on for all the relevant information.
Insights and Reporting :
Generate regular and ad-hoc reports to communicate key insights and findings to collaborators. Provide concrete recommendations to relevant teams for addressing customer needs and challenges. Develop data visualizations, charts, and graphs to present data in a concise and understandable manner.
Monitor customer feedback trends over time and track the impact of implemented improvements. Suggest improvements to data collection and analysis processes to improve the effectiveness of VoC programs.
Cross-functional Collaboration :
Work closely with Category experts to develop metrics and reporting strategies to integrate VoC insights into Adobe decision-making processes.
Stay Updated on Industry Trends :
Stay on top of industry trends and best practices in VoC data analysis and customer experience management.
Qualifications and Requirements :
- Pursuit of a bachelor's degree in business, Marketing, Statistics, Data Science, or a related field.
- Proficiency in data analysis, preferably with a focus on customer data and insights.
- Proficiency in data analysis tools such as Excel, SQL, or statistical software (e.g., R, Python).
- Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling reports and dashboards a plus.
- Familiarity with customer feedback platforms and VoC programs is a plus.
- Strong analytical and problem-solving skills, with the ability to draw practical insights from complex data sets.
- Superb communication and presentation skills to effectively convey findings to both technical and non-technical stakeholders.
- Detail-oriented, with a commitment to data accuracy and quality.
- Ability to work independently and as part of a team, managing multiple projects and deadlines.
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