Data Analyst Customer Experience

To qualify for the Data Analyst Customer Experience position at our Budapest office, you'll need to have 3-5 years of experience in a Customer Service-related field. Proficiency in data management tools, particularly Excel and PowerBI, is essential as well as knowledge of information technologies, like AI. Having a strong background with SAP is considered a plus, along with the ability to analyze data effectively, measure KPIs, and provide actionable insights.

As a Data Analyst Customer Experience in Budapest, your responsibilities will include supporting leadership with regular KPI reviews, conducting ad-hoc reporting for both operational and commercial needs, and monitoring processes for adherence. You'll also contribute to internal and external audits, manage VAT exemption processes, and ensure regular updates of process documentation, all while collaborating closely with various teams to maintain effective business rules.

Success in the Data Analyst Customer Experience role at our Budapest office requires strong analytical capabilities, excellent communication skills, and problem-solving abilities. You should be proficient in data analysis tools like Excel and PowerBI, capable of making data-driven decisions, and adept at managing multiple projects simultaneously. Additionally, having a proactive and solution-oriented mindset, along with teamwork and collaboration skills, will significantly benefit you in this position.

The Data Analyst Customer Experience role is crucial for enhancing customer satisfaction by leveraging data to drive strategic decisions. By analyzing KPIs and providing insightful reports, you will help identify areas for improvement in the customer journey. Your recommendations for process enhancements based on workload monitoring and quality investigations play a significant role in ensuring that customer interactions are positive and efficient.

At our Budapest location, the Data Analyst Customer Experience role opens doors to diverse career paths. You can pursue opportunities to become a subject matter expert or transition into a people management role. With our structured onboarding support and various development opportunities, including free language courses and online learning resources, there’s ample room for professional growth and skill enhancement.

In your response, provide specific examples of data analysis projects you've worked on, particularly how you utilized tools like Excel and PowerBI to analyze customer data. Mention any insights you derived and how they influenced decision-making processes.

Discuss your organizational strategies, like using project management tools and setting deadlines. Explain how you assess urgency and importance to ensure all projects remain on track, emphasizing a proactive approach to problem-solving.

Talk about the KPIs you track regularly to gauge customer satisfaction, such as Net Promoter Score (NPS) or Customer Satisfaction Score (CSAT). Also, mention how you gather and analyze feedback to contribute to meaningful improvements.

Share a specific instance where you noticed inefficiencies and the steps you took to examine the process. Explain the data you collected, the analysis performed, and the outcome after implementing your recommendations, highlighting team collaboration.

Emphasize the importance of teamwork, discussing how collaboration with diverse teams leads to more comprehensive insights. Mention how you have worked with other departments to align on goals and share data-driven recommendations for collective success.

Discuss your commitment to continuous learning through courses, webinars, and industry reads. Mention specific platforms or sources from where you gather insights and how you integrate new knowledge into your work.

Share a challenging scenario where you had to analyze complex data, outlining your analytical approach, the tools used, and how you overcame obstacles. Conclude by describing the solution you provided and its impact.

Highlight your ability to simplify complex data insights into understandable terms. Describe techniques such as visual aids, storytelling with data, and aligning findings with business objectives to ensure clarity and engagement.

Explain your process for identifying discrepancies, including verification steps and teamwork with relevant departments to clarify data sources. Highlight your analytical skills and persistence in ensuring accurate reporting.

Share your experience with compliance, such as working with industry standards or frameworks. Discuss how you follow the proper data management practices and ensure that your analyses adhere to all necessary regulations.