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- Tasks: Drive data solutions for a boutique consultancy in the education sector.
- Company: Join a unique strategy consultancy focused on enhancing education effectiveness.
- Benefits: Enjoy hybrid work, competitive salary, bonuses, and great perks.
- Why this job: Be a key player in innovative analytics projects that impact education.
- Qualifications: 2+ years in data analytics, expertise in SQL, R or Python, and Tableau skills required.
- Other info: Must have full UK working rights; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
Data Analytics Specialist – Hybrid working/3 days in London office & 2 days home/remote – Salary Negotiable DOE £45,000 – 60,000 + bonus and benefits – Reference J12896
Fascinating new role; unique opportunity to be the driving force behind data for this boutique strategy consultancy in the education sector.
Our client is a boutique strategy consultancy specialising in the education sector helping operators and investors in education be more effective by applying a commercial view to their issues. They are seeking an experienced and commercially-minded Data Analytics Specialist to join their team, combining technical expertise with strategic vision to deliver powerful solutions and tailored products. Ideally you will be a strategic thinker with a solid foundation in data analytics methodologies and tools and a flair for identifying insights in a commercial context.
Please be advised that you will need to have full working rights for the UK, this client is unable to provide visa sponsorship now or at any point in the future.
Key Responsibilities
- Work consultatively with internal stakeholders to identify needs and determine optimal data and analytics methodologies and products, working on projects end to end.
- Serve as a trusted data expert, developing customised analytics tools and methodologies for projects and new data products that can be utilised across the entire education ecosystem.
- Innovate and advocate for best practices in analytics, keeping the team on the cutting edge of industry developments.
- Take ownership of complex analytics projects and ensure high-quality, timely delivery leveraging advanced analytics techniques such as predictive modelling, segmentation, and root cause analysis.
- Create and maintain robust, scalable, and efficient analytics solutions.
- Advise on data manipulation and the most relevant analytical techniques, from Tableau dashboards to segmentation and root cause analysis.
- Use data visualization tools and conduct deep dives into data, providing actionable insights that empower data-driven decision-making.
Required Skills & Experience:
- 2+ years’ experience in a data analytics role.
- Proven expertise in SQL.
- Strong skills in R, C++ or Python.
- Proficiency with data visualisation tools, preferably Tableau.
- Advanced knowledge of analytics techniques such as segmentation, predictive modelling and optimisation.
- Strong problem-solving skills with a proactive and curious mindset.
- Excellent communication and presentation skills for non-technical audiences.
- Experience managing end-to-end analytics projects in collaborative team settings.
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Data Analytics Specialist - SQL, R or Python & Tableau employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Specialist - SQL, R or Python & Tableau
✨Tip Number 1
Familiarize yourself with the education sector and its unique challenges. Understanding the specific needs of operators and investors in education will help you tailor your insights and solutions effectively.
✨Tip Number 2
Showcase your experience with SQL, R, or Python by preparing examples of past projects where you've successfully applied these skills. Be ready to discuss how you used these tools to derive actionable insights.
✨Tip Number 3
Highlight your ability to communicate complex data findings to non-technical audiences. Prepare to share instances where your communication skills made a significant impact on decision-making.
✨Tip Number 4
Demonstrate your proactive approach to problem-solving. Think of specific challenges you've faced in previous roles and how you overcame them using innovative analytics techniques.
We think you need these skills to ace Data Analytics Specialist - SQL, R or Python & Tableau
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, particularly with SQL, R, Python, and Tableau. Use specific examples of projects where you've applied these skills to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the education sector and how your analytical skills can contribute to the consultancy's goals. Mention any relevant experience that showcases your strategic thinking and problem-solving abilities.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. Include details about your proficiency in data visualization tools and analytics techniques, as well as any successful projects you've managed from start to finish.
Prepare for Interviews: If invited for an interview, be ready to discuss your previous analytics projects in detail. Prepare to explain your thought process, the methodologies you used, and how your insights led to actionable outcomes.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, R, Python, and Tableau in detail. Bring examples of past projects where you utilized these tools to solve complex problems or deliver insights.
✨Demonstrate Strategic Thinking
Highlight instances where you've combined technical expertise with strategic vision. Discuss how your analytical work has led to actionable insights that drove decision-making in a commercial context.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Be ready to walk through your thought process on how you would approach a specific data challenge or project from start to finish.
✨Communicate Effectively
Practice explaining complex analytics concepts in simple terms. Since you'll be working with non-technical stakeholders, showcasing your ability to communicate insights clearly will be crucial.
