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- Tasks: Create and maintain Customer Success dashboards to analyse revenue and customer experience.
- Company: Join Foundever, a global leader in customer experience, supporting top brands worldwide.
- Benefits: Enjoy a hybrid working model with no weekends and a collaborative team environment.
- Why this job: Influence key business decisions and contribute to a global fintech leader's growth.
- Qualifications: 3+ years of SQL experience and proficiency in dashboard tools like Tableau or Qliksense.
- Other info: This is a full-time role; not suitable for active students.
The predicted salary is between 36000 - 60000 £ per year.
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Working Hours: Monday to Friday, 09:00 to 17:30 (no weekends)
Location: SW1, London (hybrid working model, 3 days in office per week)
Overview
Foundever and Intuit for a motivated and experienced Data Analyst to join our Customer Success team on a 6-month contractual basis. In this role, your primary responsibility will be to maintain and develop Customer Success dashboards that analyse and report on revenue-generating and customer experience activities. You’ll collaborate closely with business stakeholders to ensure the delivery of user-friendly and comprehensive executive dashboards.
You will be working on behalf of our client, Intuit , a global fintech leader renowned for driving prosperity through innovative financial solutions, trusted by millions of customers worldwide.
This is an excellent opportunity to work closely with cross-functional teams, influence key business decisions, and contribute to the growth of a global, innovative company.
Please note sponsorship is not available for this role. This is a full-time role and would not be suitable for active students.
Key Responsibilities
- Design and build interactive and intuitive Customer Success dashboards to report on retention and revenue generating activities activities.
- Develop and maintain robust and scalable ETL processes to support dashboard creation and data integration.
- Utilize SQL and Python to query databases, perform data manipulation, and automate analysis processes.
- Support experimentation efforts of our Growth & Retention organization by analysing and reporting on A/B testing results.
- Provide historical data for key metrics to help establish baseline performance and experiment targets.
- Work closely with Customer Success, Sales, and Marketing teams to understand reporting needs and refine dashboard functionalities.
- Present findings and insights to business stakeholders and executives in a clear and concise manner.
Quality Assurance:
- Ensure data accuracy, integrity, and consistency by implementing best practices in data governance and quality control.
- Troubleshoot and resolve any data-related issues promptly.
Your Profile & Experience
- At least 3 years hands-on experience working with SQL (essential)
- A high level of proficiency in SQL and experience building dashboards in Tableau, Qliksense, or similar tools.
- Experience with ETL processes and A/B testing methodologies.
- Familiarity with call centre data and key industry metrics.
- Understanding of web data and digital support tools.
- Strong problem-solving skills and the ability to work independently.
- Excellent communication skills for translating complex analyses into clear insights.
- Effective time management to meet project deadlines.
About Foundever
Foundever is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we’re the team behind the best experiences for +800 of the world’s leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.
Apply Now! We look forward to reviewing your application.
Foundever is an equal opportunity and Disability Confident employer. We value our diversity and we’re committed to making Foundever a truly inclusive place to work. We recognized and embrace that people work in different ways and we’ll always adapt as much as possible so you have the best and most comfortable working environment that we can offer.
If you need use to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you.
The personal data you provide in your application, and as part of the recruitment process, will only be held and processed for the purpose of the selection process of Foundever and in connection with any subsequent employment or placement, unless otherwise indicated. Your data will be retained only for as long as it permitted by UK legislation and then destroyed.
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Job Segment: Data Analyst, Call Center, Database, QA, QC, Data, Customer Service, Technology, Quality
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Temporary Data Analyst employer: Sitel Corp.
Contact Detail:
Sitel Corp. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Temporary Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL and dashboard software like Tableau or Qliksense. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Network with current or former employees of Foundever or Intuit on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with A/B testing and ETL processes in detail. Be ready to share specific examples of how you've used data to influence business decisions, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Practice presenting complex data insights in a clear and concise manner. You may be asked to demonstrate your communication skills during the interview, so consider preparing a short presentation on a past project that showcases your analytical abilities.
We think you need these skills to ace Temporary Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially your hands-on work with SQL and any dashboard tools like Tableau or Qliksense. Emphasise your problem-solving skills and ability to work independently, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects where you've designed dashboards or worked with ETL processes, and how these experiences align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Be explicit about your technical skills in SQL and Python. Provide examples of how you've used these skills in past roles, particularly in data manipulation and analysis, to demonstrate your capability to meet the job requirements.
Prepare for Potential Questions: Think about how you would explain complex analyses in simple terms, as communication is crucial for this role. Prepare examples of how you've collaborated with cross-functional teams and presented findings to stakeholders.
How to prepare for a job interview at Sitel Corp.
✨Showcase Your SQL Skills
Since the role requires at least 3 years of hands-on experience with SQL, be prepared to discuss your previous projects. Bring examples of how you've used SQL to manipulate data and create dashboards, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with Foundever and Intuit's business models and their customer success strategies. Being able to relate your data analysis skills to their specific needs will show that you are not just a techie but also understand the bigger picture.
✨Prepare for A/B Testing Discussions
As the role involves analysing A/B testing results, be ready to explain your experience with this methodology. Discuss any relevant projects where you contributed to experimentation efforts and how your insights influenced decision-making.
✨Communicate Clearly
Excellent communication skills are essential for this position. Practice explaining complex data analyses in simple terms, as you'll need to present findings to stakeholders. Consider using visual aids or examples from past experiences to illustrate your points.
