Medior data business consultant in London

Medior data business consultant in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
ORGX

At a Glance

  • Tasks: Lead data-driven transformations and guide clients in decision-making.
  • Company: Join ORGX, a forward-thinking company focused on intelligent data solutions.
  • Benefits: Competitive salary, professional growth, and a collaborative work environment.
  • Other info: Dynamic role with opportunities to shape the future of data governance.
  • Why this job: Make a real impact by turning data into actionable insights for businesses.
  • Qualifications: 3-6 years in strategy consulting or data-focused roles with strong analytical skills.

The predicted salary is between 80000 - 100000 £ per year.

Join ORGX in our Intelligent Edge practice and help organizations act with precision and confidence, in real time. You’ll enable companies to cut through data overload and turn raw numbers into trusted intelligence that drives direct action. Not just organizing data and processes, but unlocking insights to get to the core faster, steer more effectively, and compete smarter. You’ll work at the intersection of strategy, organization, and information, making sure data is not a standalone IT concern but a strategic driver that aligns with and strengthens the company’s goals. You ask the questions that truly matter, cut through the noise, bring clarity, and connect intelligence directly to decision-making. Your role is to turn stalled analysis into real momentum, ensuring data accelerates progress.

What you will do:

  • Lead and support data-driven transformations that unlock strategic potential
  • Map and structure information flows to support faster, better decisions
  • Rebuild trust in data through smart governance and clear frameworks
  • Facilitate conversations that help teams choose and commit
  • Guide clients through decisions about tooling, AI, and system design
  • Build alignment across leadership, technology, and execution
  • Spot opportunities to expand ORGX’s role within client systems
  • Contribute to internal development and the evolution of our practice

What you already have:

  • 3 to 6 years of experience in strategy consulting, transformation, or data-focused work
  • Affinity with data architecture, governance, or AI implementation
  • You can distinguish when a challenge is about technology and when it’s about behaviour.
  • You recognize where friction slows an organization and know how to turn it into progress.
  • Skill in structuring complex information streams into clear frameworks and actions
  • The ability to balance technical insight with organizational sensitivity
  • Bring structure, build trust, and steer clients toward stronger decisions.
  • Strong facilitation, analytical, and communication skills
  • Curiosity, confidence, and a mindset focused on movement
  • A sharp eye for connecting client needs to broader ORGX opportunities

Ready to apply? We’d love to hear from you.

Medior data business consultant in London employer: ORGX

At ORGX, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Medior Data Business Consultant in our Intelligent Edge practice, you will have the opportunity to engage in meaningful projects that drive real change for our clients while benefiting from continuous professional development and a supportive environment. Our commitment to employee growth, coupled with our strategic focus on data-driven transformations, ensures that you will not only enhance your skills but also contribute to impactful solutions that align with our clients' goals.

ORGX

Contact Details:

ORGX Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Medior data business consultant in London

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Apply Directly through Our Website

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We think you need these skills to ace Medior data business consultant in London

Data Governance
Data Architecture
AI Implementation
Strategic Consulting
Transformation Management
Information Structuring
Analytical Skills

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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Craft a Tailored Cover Letter:For a full-time role at ORGX, 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 ORGX. 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 ORGX

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

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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 ORGX!

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.