At a Glance
- Tasks: Design and manage studies to generate actionable insights for improving customer experience.
- Company: Join Quadient, a forward-thinking company committed to inclusivity and innovation.
- Benefits: Enjoy flexible work, endless learning opportunities, and comprehensive rewards for your well-being.
- Other info: Collaborate with diverse teams and access global growth opportunities.
- Why this job: Make a real impact by enhancing customer experiences through data-driven insights.
- Qualifications: Master’s degree and 5 years in market research or customer experience required.
The predicted salary is between 51750 - 63250 £ per year.
Your role in our future:
- Design and manage quantitative and qualitative studies: from drafting questions to producing and presenting insights
- Generate actionable insights for internal teams
- Share insights with appropriate content and format depending on the audience (written and oral presentations)
Customer Experience Management:
- Identify pain points and opportunities for improvement
- Co-develop action plans with different internal stakeholders
Monitoring KPIs:
- Defining and tracking key metrics (CSAT, CES, etc.)
- Implement dashboards and regular reporting
- Measure the impact of improvement initiatives
Project management:
- Coordinate projects related to the customer experience
- Collaborate with marketing, digital, customer service, and IT teams
- Manage external service providers (market research firms, CX consultancies, etc.)
Qualifications:
- Master’s degree (business school, marketing, statistics, social sciences)
- At least 5 years of experience in market research, insights, or customer experience ideally in market research agency
- Research methodologies (quantitative and qualitative): social sciences and statistics
- Data analysis (advanced Excel, ideally tools such as Power BI, Tableau, etc.)
- Proficiency in new approaches to data collection and reporting using AI
- Proficiency with Microsoft Office and research tools such as SurveyMonkey
- Strong understanding of omnichannel customer journeys
- Fluency in English is required: working language (spoken and written); another language such as French is welcome, but not mandatory
- Ability to grasp technical topics: tech, B2B, regulatory issues: electronic invoicing, etc.
- Analytical and synthesis skills
- Excellent oral and written communication skills
- Project management and cross-functional collaboration
- Critical thinking and proactive approach
- Structured and logical
Additional Information:
- Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle.
- Endless Learning: Access global opportunities for growth through our 24/7 online learning platform.
- Inclusive Community: Join our Empowered Communities and engage in our Philanthropy program.
- Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme.
- Caring for Wellbeing: Access our complimentary employee assistance program for mental health support.
Quadient is an Equal Employment Opportunity Employer. We firmly believe in zero discrimination in employment on any basis, including race, color, religion, sex, national origin, age, disability, veteran or military status, genetic information, citizenship status, and any other characteristics protected by local, state, or federal law.
Research & Experience Analyst employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Research & Experience Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Doist!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research & Experience Analyst at Doist.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Doist.
✨Apply Directly through Our Website
When you find a suitable opening like Research & Experience Analyst at Doist, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research & Experience 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Doist, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Doist. 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 Doist
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Doist!
✨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.
