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

View Open Roles

Temporary Data Analyst

Sitel Corp.
London
1 month ago
Create job alert

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

Select how often (in days) to receive an alert:

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.

#LI - ER1

#LI - Remote


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

Provider

Description

Enabled

SAP as service provider

"route" is used for session stickiness

"careerSiteCompanyId" is used to send the request to the correct data center

"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor

Provider

Description

Enabled

Google Analytics 4

A web analytics service that tracks and reports website traffic.

An analytics tool that allows us to measure and optimize Facebook ads, build targeted audiences and remarket to our website users.

Google AdSense

Tracks when someone clicks on our ad and identifies them when they visit our website and complete an action, such as a form submission or sign-up.

LinkedIn Insight

Provides demographic insights about our website users. Supports optimization of campaigns and retargeting of our website users.


#J-18808-Ljbffr

Related Jobs

View all jobs

Temporary Data Analyst

Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst (R & Python)

Senior Data Analyst (R & Python)

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.

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

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.