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- Tasks: Create and manage 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 supportive, inclusive 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 required.
- Other info: This is a full-time role; active students should not apply.
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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Data Analyst - 6 month FTC employer: Sitel Corp.
Contact Detail:
Sitel Corp. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - 6 month FTC
✨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 valuable insights about the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with A/B testing and data analysis. Be ready to share specific examples of how your insights have influenced business decisions, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Showcase your problem-solving skills by preparing a case study or example where you successfully resolved a data-related issue. This will highlight your analytical thinking and ability to work independently, both of which are crucial for this position.
We think you need these skills to ace Data Analyst - 6 month FTC
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 Data Analyst position and how your background aligns with Foundever's goals. Mention specific projects where you've developed dashboards or worked with ETL processes to showcase your expertise.
Showcase Relevant Skills: Highlight your proficiency in SQL and any experience with A/B testing methodologies. If you have familiarity with call centre data or digital support tools, make sure to include that as well, as it directly relates to the job description.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Sitel Corp.
✨Showcase Your SQL Skills
Since SQL experience is essential for this role, be prepared to discuss your hands-on experience with SQL in detail. Bring examples of complex queries you've written or problems you've solved using SQL, and if possible, demonstrate your ability to manipulate data effectively.
✨Familiarise Yourself with Dashboard Tools
The job requires proficiency in dashboard tools like Tableau or Qliksense. Make sure you can talk about your experience with these tools, including specific dashboards you've created. If you have a portfolio, consider sharing it during the interview.
✨Understand A/B Testing Methodologies
As you'll be supporting experimentation efforts, brush up on A/B testing principles. Be ready to explain how you've used A/B testing in past roles, what metrics you tracked, and how your findings influenced business decisions.
✨Communicate Clearly and Concisely
Excellent communication skills are crucial for presenting insights to stakeholders. Practice summarising complex analyses into clear, actionable insights. Consider preparing a brief presentation or example of how you've communicated findings in the past.
