Temporary Data Analyst

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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 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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