Data-Driven CX Expert
1 week ago
We are looking for a highly skilled Data-Driven CX Expert to join our team at Delivery Hero. As a key member of our analytics department, you will be responsible for driving business growth through data-driven insights and strategic recommendations.
Key Responsibilities:- Analyze large datasets to identify trends and patterns, providing actionable recommendations to drive business growth.
- Collaborate with cross-functional teams to develop insights-driven strategies that enhance customer satisfaction.
- Design and implement metrics and dashboards to track key performance indicators, ensuring seamless communication across departments.
- Support the monitoring, tracking, and reporting of critical CX and COO metrics, ensuring timely and accurate updates to stakeholders.
- Develop comprehensive reports and visualizations to showcase performance trends, highlighting areas for improvement.
- Present findings and insights to senior leadership, facilitating informed decision-making.
- Contribute to the budgeting process by analyzing financial data, identifying areas for cost reduction, and proposing optimization strategies.
- Develop in-depth analyses of budget drivers, providing stakeholders with crucial information for informed decision-making.
- Identify and investigate variances in budget drivers, offering actionable recommendations to minimize financial risk.
- Assist CX and COO teams in delivering ad-hoc projects, leveraging analytical skills to drive success.
- Develop project plans, track progress, and coordinate with cross-functional teams to ensure smooth execution.
- Investigate trends and patterns in fraud, developing targeted countermeasures to minimize financial losses.
- Provide expert insights into fraud-related budget impacts, supporting initiatives to mitigate risk.
- Bachelor's degree in Business, Finance, Data Analytics, Economics, or a related field.
- 3-4 years of experience in analytics, operations, finance, or business intelligence.
- Strong Excel skills and ability to manage large datasets.
- Strong analytical and problem-solving skills.
- Data-driven mindset with a keen eye for identifying trends and anomalies.
- Ability to present insights in a clear and actionable manner.
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