At a Glance
- Tasks: Support clients in transforming their organisations through data-driven analysis and technical expertise.
- Company: Join a rapidly growing international company with a focus on analytics and consulting.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday (increasing to 30).
- Other info: Great opportunity for career growth and well-being support.
- Why this job: Make a real impact by solving key business problems for major organisations.
- Qualifications: Bachelor’s Degree required; data analysis skills and experience with tools like SQL or Python preferred.
The predicted salary is between 45000 - 55000 £ per year.
Role Overview
Support clients in delivering organisational transformation outcomes through strong technical expertise and data‑driven analysis.
Responsibilities
- Be part of the client‑facing engagement team and create trusted relationships at the appropriate level to solve key business problems by combining your experience, data and Orgvue capabilities.
- Deliver all aspects of our Professional Services projects including implementing technical data architecture solutions, manipulating and transforming data using tools such as SQL, Python or similar, designing and building insightful analytics dashboards and visualisations, and working with our clients to help build their Organizational Planning & Analysis (OP&A) and Transformation capabilities.
- Conduct Data‑Driven Organisational Design (DDOD) by delivering analytical insights on the current business through data capture, analysis and storytelling and supporting our clients in tracking and monitoring changes to their workforce over time.
- Advise and train clients on how they can best utilise Orgvue to deliver operational and strategic business objectives.
Requirements
- Excited by the prospect of joining a rapidly growing international company.
- Interested in building consulting skills within the analytics space.
- Desire to make a fundamental difference to some of the largest organisations and household names.
- Enjoy solving problems, love taking on difficult challenges and finding creative solutions.
- Bachelor’s Degree required, ideally in Information Sciences or Business Studies.
- Excellent knowledge of Microsoft Office, including Excel and Power Point.
- Data analysis skills essential; knowledge of statistics modelling preferred.
- Experience with analytics tools such as Tableau, SQL, R, Python or MATLAB is a plus.
- Client‑facing experience is a plus.
Benefits
- Hybrid working (2 days in London office)
- Private Medical Insurance (including Dental and Vision) and Life Assurance
- 25 days holiday (increasing to 30 days at a rate of 1 extra day per year)
- Employer pension contribution of 5% of your gross salary if you contribute a minimum of 3%
- Season Ticket Loan
- Cycle to Work Scheme
- Well‑being support: Sanctus Coaching, virtual fitness sessions, well‑being webinars, annual well‑being days
- #J-18808-Ljbffr
Analyst EMEA employer: Orgvue
Orgvue is an exceptional employer that champions a dynamic and inclusive work culture, offering hybrid working arrangements that allow for flexibility while fostering collaboration in our London office. With a strong focus on employee growth, we provide comprehensive benefits including private medical insurance, generous holiday allowances, and wellbeing support, ensuring our team members thrive both personally and professionally. Join us to be part of a forward-thinking company that values individual contributions and empowers you to make a meaningful impact in the B2B marketing landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst EMEA
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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 Orgvue.
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We think you need these skills to ace Analyst EMEA
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 Orgvue. 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 Orgvue
✨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
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 Orgvue!
✨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.
