Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Temporary Data Analyst

Foundever
Greater London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Temporary Data Analyst

Senior Data Analyst

PowerBI Data Analyst

Lead Data Analyst - Supporting Communities

Data Analyst

Data Analyst - Supplychain

Temporary Data Analyst

Temporary Data Analyst

Req ID#: 397335

Kingston, UK, Kingston, GB

Job Description:

Role Details

Salary: Dependent on experience


Contract Duration: Temporary, 6 month fixed-term contract


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


Dashboard Development:

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.

Experimentation:

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.

Collaboration:

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.

#LI - ER1


#LI - Remote


Job Segment: Database, SQL, Data Analyst, Call Center, QA, Technology, Data, Customer Service, Quality

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.