At a Glance
- Tasks: Analyse customer data to drive insights and improve customer success.
- Company: Join Thales, a global leader in cybersecurity and technology.
- Benefits: Competitive salary, medical insurance, flexible time off, and employee discounts.
- Other info: Dynamic hybrid work environment with opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for customers.
- Qualifications: Degree in a related field and 5+ years in data analytics required.
The predicted salary is between 45000 - 55000 £ per year.
Location: BELFAST ARNOTT HOUSE, United Kingdom
Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.
Summary:
Imperva, A Thales Company is seeking a passionate Customer Intelligence Analyst to support our Customer Success organization. This role will identify customer intelligence within our business and make this actionable for Customer Success teams and business leaders. It will solve problems, think strategically, learn the business, and make an impact through data findings and recommendations. Specifically, this person will partner closely with our Customer Success Management team and will be responsible for building out, maintaining and constantly improving operational process and reporting via our Customer Success platform and other tools, gathering data and completing analyses to drive improved outcomes for the team and ultimately for our customers. They will be responsible for conducting research, analysing the results and translating findings into easy-to-understand reports and presentations for project and organizational leaders.
Responsibilities:
- Research and develop new customer intelligence, driving meaningful action through data
- Create, maintain and constantly improve operational processes for Customer Success teams
- Conduct data analysis projects to derive insights and actions from product and customer usage data in order to:
- Improve our customer experience.
- Predict customer churn.
- Drive customer retention and expansion.
- Improve Imperva’s products and services.
- Interpret, summarize, and present data findings with recommendations to key stakeholders.
- Perform implementation and administration duties with Customer Success platform, Planhat and other relevant tools.
- Engage with Customer Success teams to provide enablement on tools and process while identifying new requirements.
- Identify and address data quality issues – drive improved data quality in all activities related to the Customer Success Management Team.
- Collaborate with stakeholders to understand analytics needs, set priorities, and work on multiple projects simultaneously.
- Collaborate on cross-functional projects and AI initiatives.
- Work on system integration and data ingestion activities.
Job Requirements:
- Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science or a related field or equivalent experience in data and business analytics required.
- 5+ years of experience in a data analytics role.
- Strong analytical thinking and problem-solving skills.
- Demonstrated proficiency with Tableau, and/or Power BI.
- Demonstrated proficiency with Salesforce, Customer Success tools or another CRM.
- Proficient in python, or other relevant scripting language.
- Detail oriented and analytical with the ability to quickly identify issues and drive resolution.
- Ability to use data to identify trends, interpret data and persuasively recommend improvements and optimization options.
- Ability to manage multiple projects at the same time in a fast-paced environment.
- A highly productive self-starter with a strong work ethic, strong attention to detail.
- Experience working cross-functionally and influencing others.
- Strong verbal and written communication skills and ability to work well in a distributed team environment.
Rewards:
Thales offers a competitive compensation package that includes base salary, medical, flexible time off and more. It’s an exciting time to work in the security space.
Applicants must be legally authorized to work in the UK at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future.
At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring.
Customer Intelligence Analyst employer: Thales
Thales is an exceptional employer, offering a dynamic work environment in Belfast that fosters innovation and collaboration. With a strong commitment to employee growth, Thales provides comprehensive benefits including private medical insurance, flexible time off, and opportunities for professional development. Join a diverse team dedicated to making a meaningful impact in the cybersecurity space while enjoying a supportive culture that values every individual's unique contributions.
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We think this is how you could land Customer Intelligence Analyst
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We think you need these skills to ace Customer Intelligence Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Thales. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Thales
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
