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For Companies At a Glance
- Tasks: Support strategic advice delivery through analytics and data analysis.
- Company: Join OC&C, a leading consultancy known for its innovative approach.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth.
- Why this job: Make an impact by solving real-world problems with data-driven insights.
- Qualifications: 1-4 years of analytics experience and a degree in a quantitative field required.
- Other info: Remote work options available; ideal for creative problem solvers.
The predicted salary is between 36000 - 60000 £ per year.
More Information
The primary role of an Associate Consultant – Analytics (Experienced Hire) is to support the delivery of strategic advice to senior client management through analytics and data know-how; deliver analytic modules with guidance from senior members of the team which involves various data gathering, data cleaning and analysis, modelling and interpretation of the results.
You will work directly with clients in conducting advanced analyses across a multitude of data sources and will play a significant role in team problem solving and delivering insights from the analyses.
About The Candidate
We are looking for candidates with the highest level of communication and analytical skills. They will be able to demonstrate excellence in the following areas:
Key skills and competencies:
Associate Consultant - Analytics (Experienced hire) employer: OC&C
Contact Detail:
OC&C Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Consultant - Analytics (Experienced hire)
✨Tip Number 1
Network with professionals in the analytics field, especially those who work at OC&C or similar companies. Attend industry events, webinars, or meetups to make connections and learn more about the company culture and expectations.
✨Tip Number 2
Brush up on your programming skills in R and Python, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects to showcase your abilities and practical experience.
✨Tip Number 3
Prepare to discuss your previous analytics experiences in detail. Be ready to explain your approach to data collection, cleaning, and analysis, as well as any specific projects where you used statistical modelling or machine learning techniques.
✨Tip Number 4
Practice your presentation skills, as effective communication is key for this role. Try presenting your findings from past projects to friends or family to gain confidence in delivering clear and engaging insights.
We think you need these skills to ace Associate Consultant - Analytics (Experienced hire)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant analytics experience, particularly in data collection, cleaning, and statistical analysis. Use specific examples that demonstrate your skills in R and/or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your communication skills and explains why you are a great fit for the Associate Consultant role. Mention your experience with client interactions and how you can contribute to team problem-solving.
Highlight Relevant Projects: Include details of any projects where you applied analytics to solve real-world problems. Discuss your role, the methodologies used, and the outcomes achieved to illustrate your analytical capabilities.
Prepare for Technical Questions: Anticipate technical questions related to data analysis and modelling during the interview process. Be ready to discuss your approach to using supervised and unsupervised learning algorithms in practical scenarios.
How to prepare for a job interview at OC&C
✨Showcase Your Analytical Skills
Be prepared to discuss your previous analytics experience in detail. Highlight specific projects where you gathered, cleaned, and analysed data, and be ready to explain the methodologies you used and the insights you derived.
✨Demonstrate Communication Proficiency
Since effective communication is key for this role, practice explaining complex analytical concepts in simple terms. Prepare examples of how you've presented findings to diverse audiences, ensuring clarity and engagement.
✨Familiarise Yourself with Relevant Tools
Brush up on your programming skills in R and/or Python. Be ready to discuss how you've used these tools in past projects, particularly in relation to statistical analysis and modelling techniques.
✨Prepare for Teamwork Scenarios
Expect questions about teamwork and project management. Think of examples where you've collaborated effectively, shared responsibilities, and contributed creative ideas to meet deadlines, showcasing your leadership qualities.
