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For Companies At a Glance
- Tasks: Lead a high-performing team to deliver innovative data solutions and drive business transformation.
- Company: Join a dynamic, international team focused on impactful data strategies.
- Benefits: Fast-track your career with competitive salary and opportunities for growth.
- Why this job: Collaborate with C-level executives and shape the future of data in businesses.
- Qualifications: Master's or Ph.D. in a quantitative field and strong leadership experience required.
- Other info: Be part of a vibrant culture that fosters skill development and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
What we offer
- Collaborate with C-level executives to drive transformational changes in their business.
- Lead, mentor, and manage a high-performing team to deliver innovative data engineering solutions.
- Spearhead business development initiatives by identifying opportunities to grow client relationships.
- Work in multidisciplinary teams and learn from motivated colleagues.
- Play a pivotal role in defining and executing data strategies for our clients.
- Become part of a dynamic, international team, where you can fast-track your career and lead projects that deliver tangible business results.
What you will do
- Act as trusted advisor to board-level stakeholders; co-create enterprise-wide data & AI roadmaps, operating models and investment cases.
- Shape and execute annual practice plan—investment, hiring plan, capability build, M&A or venturing plays, ensuring a healthy team pyramid and team members’ career progress and happiness.
- Sponsor development of proprietary accelerators, GenAI offerings, and industry solutions.
- Oversight across the entire UK data portfolio and team.
- Translate business problems to analytics solutions with clear output.
- Translate analytical output to drive business decisions that create impact.
- Oversee project delivery required to meet client expectations.
- Responsibilities include overall project delivery quality, development of presentations, and management of external relationships.
- Function as a sounding board for data and analytics-related questions of client business leadership.
- Seek compelling opportunities beyond the scope of the current project and show a strong entrepreneurial mindset.
- Guide more junior members of the team, while orchestrating the work of the entire team.
- Drive team growth and development for the members of the team.
- Foster and grow the data team’s skillsets, culture and ways of working.
- Provide technical oversight of analytical approaches, code and model reviews, MLOps standards, data governance compliance, and help to unblock complex challenges.
- Be able to technically manage projects.
- Lead on proposals and RfP responses.
- Lead global data initiatives and communities of practice.
- Building a £3m pipeline of Data practice work by leading on commercial efforts, leveraging networks, and support existing relationships and expanding client engagements.
What you will bring
- Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences).
- 5+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong network in the UK market.
- Sharp thinking ability to be able to differentiate major contributors from irrelevant details quickly, and to structure information residing in the data under analysis hierarchically.
- Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning.
- Deep expertise in advanced analytics, data science and traditional analytics.
- High-level understanding of data engineering and data strategy.
- Strong understanding of at least one cloud stack (e.g., Azure, AWS, GC).
- Proven ability to manage and deliver projects with expert team members and to provide inspiring guidance to juniors in the team.
- Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.
- High proficiency in MS Office, particularly PowerPoint and Excel.
- Experience in Retail and consumer goods is highly advantageous.
- Experience integrating GenAI / LLM solutions into enterprise workflows.
- Experience in consulting (including internal consultancies) is highly advantageous.
- Professional fluency in English required.
Data Associate Partner in London employer: Metyis
Contact Detail:
Metyis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Associate Partner in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data projects and successes. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to pop up. Reach out to companies you admire, like us at StudySmarter, and express your interest. Sometimes, the best opportunities are created rather than found.
✨Tip Number 4
Prepare for interviews by practising common questions and scenarios related to data strategy and analytics. Make sure you can clearly explain how you’ve tackled challenges in the past and how you can add value to the team.
We think you need these skills to ace Data Associate Partner in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Associate Partner role. Highlight your experience with data analysis, project management, and team leadership, as these are key aspects of the job. We want to see how your skills align with what we’re looking for!
Showcase Your Achievements: When detailing your past experiences, focus on specific achievements that demonstrate your ability to drive business results. Use metrics where possible to quantify your impact, like how you improved a process or led a successful project. This helps us see the tangible value you can bring to our team.
Be Clear and Concise: In your written application, clarity is crucial. Avoid jargon and keep your language straightforward. We appreciate well-structured applications that get straight to the point, making it easy for us to understand your qualifications and fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our dynamic team at StudySmarter!
How to prepare for a job interview at Metyis
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data analysis techniques and tools mentioned in the job description. Brush up on your SQL, Python, and any relevant data visualisation software like PowerBI or Tableau. Being able to discuss specific projects where you've applied these skills will show your expertise.
✨Understand the Business Context
Since the role involves collaborating with C-level executives, it’s crucial to understand their business challenges. Research the company’s industry, recent news, and how data can drive their strategic goals. This will help you frame your answers in a way that resonates with their needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical business problems using data. Practice articulating your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical thinking and problem-solving skills.
✨Showcase Your Leadership Skills
As this role involves mentoring and managing a team, be ready to discuss your leadership style and experiences. Share examples of how you’ve guided junior team members or led successful projects. Highlight your ability to foster a positive team culture and drive growth within your team.
