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- Tasks: As a Reporting Analyst, you'll analyse data to enhance customer experience and operational efficiency.
- Company: Join a leading global tech platform tackling major financial challenges with AI-driven solutions.
- Benefits: Enjoy a supportive culture, remote work options, and opportunities for personal growth.
- Why this job: Make a real impact by driving insights that improve customer satisfaction and sales performance.
- Qualifications: Strong data analysis skills and proficiency in SQL are essential; problem solvers welcome!
- Other info: This role is open for a limited time, so apply quickly to secure your chance!
The predicted salary is between 28800 - 48000 £ per year.
As a Reporting Analyst, you will deliver data-driven insights to enhance customer experience, operational efficiency, and sales performance across the UK, Canada, Australia, and Emerging Markets.
- Customer Experience & Operational Insights
- Analyse voice of customer data (e.g., tNPS, verbatims) and operational metrics (e.g., handle times, wait times, contact drivers).
- Conduct root cause analysis to identify drivers of customer dissatisfaction and inefficiencies.
- Provide prioritised, data-backed recommendations, focusing on high-volume or high-value segments.
- Present clear documentation and insights to product support and leadership teams.
- Collaborate cross-functionally to align solutions with business goals across regions.
- Evaluate BPO partner performance in up-sell and cross-sell during support interactions.
- Assess site- and agent-level effectiveness in identifying and passing sales leads.
- Deliver root cause analysis and strategic recommendations to drive improvements.
- Share findings through clear artefacts to support regional sales growth.
- AI & Process Automation
- Identify manual processes (e.g., agent notes review) suitable for AI automation.
- Develop and test AI prompts/tools using internal AI/LLM platforms.
- Implement scalable AI solutions across regions to boost insight generation.
- Partner with teams to ensure adoption and business alignment.
- Provide documentation and training on AI-enabled workflows.
Key Skills
- Data Analysis & Interpretation: Strong ability to analyse customer and operational data for insights.
- Problem Solving: Skilled in root cause analysis and issue resolution.
- Strategic Thinking: Capable of forming actionable, prioritised recommendations.
- Cross-functional Collaboration: Excellent communication and team alignment.
- AI & Automation Tools: Proficient in designing and applying AI-driven solutions.
- Technical Skills: Proficiency in SQL is required.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Reporting Analyst employer: Aquent GmbH
Contact Detail:
Aquent GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reporting Analyst
✨Tip Number 1
Familiarise yourself with the key metrics mentioned in the job description, such as tNPS and operational metrics. Understanding these concepts will help you speak confidently about how you can analyse and improve customer experience during interviews.
✨Tip Number 2
Brush up on your SQL skills, as proficiency in SQL is a requirement for this role. Consider working on sample projects or datasets to demonstrate your ability to extract and manipulate data effectively.
✨Tip Number 3
Prepare examples of past experiences where you've successfully conducted root cause analysis and provided actionable recommendations. Being able to share specific instances will showcase your problem-solving skills and strategic thinking.
✨Tip Number 4
Research AI and automation tools relevant to the role. Familiarity with these technologies will not only enhance your understanding but also allow you to discuss how you can contribute to implementing scalable AI solutions in the company.
We think you need these skills to ace Reporting Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Reporting Analyst role. Focus on your data analysis capabilities, problem-solving skills, and any experience with AI and automation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the company's mission and how your background fits the role. Emphasise your ability to analyse customer data and provide actionable insights, as well as your experience in cross-functional collaboration.
Showcase Technical Skills: Clearly outline your proficiency in SQL and any other relevant technical skills in your application. Provide examples of how you've used these skills in previous roles to drive improvements or efficiencies.
Highlight Problem-Solving Experience: Include specific examples of past experiences where you conducted root cause analysis or resolved issues effectively. This will demonstrate your strategic thinking and problem-solving abilities, which are crucial for the role.
How to prepare for a job interview at Aquent GmbH
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis and interpretation. Highlight specific examples where you've successfully derived insights from customer or operational data, as this is crucial for the Reporting Analyst role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, particularly around root cause analysis. Prepare to share instances where you've identified issues and implemented effective solutions, especially in a customer service context.
✨Emphasise Cross-Functional Collaboration
Since the role involves working with various teams, be ready to discuss your experience in cross-functional collaboration. Share examples of how you've aligned solutions with business goals and communicated effectively with different stakeholders.
✨Familiarise Yourself with AI and Automation Tools
Given the focus on AI and process automation, brush up on relevant tools and technologies. Be prepared to discuss any experience you have with AI-driven solutions and how you've contributed to implementing scalable processes.
