At a Glance
- Tasks: Drive AI adoption and transform business operations department by department.
- Company: Join Quoreka, a leader in vendor solutions for metals, energy, and agriculture.
- Benefits: Work with cutting-edge technology and collaborate with an executive team.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on how businesses operate using GenAI.
- Qualifications: 2-4 years in cross-functional roles and hands-on experience with GenAI.
The predicted salary is between 63000 - 77000 £ per year.
About Quoreka
Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture.
Catering to a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E‑Sourcing products.
Today, we boast extensive CTRM/ETRM expertise across softs, ags, fertilizers/chemicals, liquids, precious metals, concentrates, energy and much more.
About Quoreka
Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture.
Catering to a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E‑Sourcing products.
Today, we boast extensive CTRM/ETRM expertise across softs, ags, fertilizers/chemicals, liquids, precious metals, concentrates, energy and much more.
Quoreka provides the industry with a unique offering that meets the growing demands of commodity traders, energy merchants, miners, and industrials, delivering best‑in‑class functionality, user experience, technology, and services.
Quoreka has over 200 employees and offices across the UK, India, Australia, Switzerland, and Canada, serving :100 customers globally across multiple commodity segments.
The Role
As a Business Transformation Specialist reporting to the Chief AI Officer, you'll turn Quoreka's investment in AI into commercial results, one department at a time.
This is an individual‑contributor role, broader and more open-ended than a typical operations or program seat – and we're looking for someone who prefers it that way.
You want to change how businesses operate – and to see it through yourself.
And you know it takes department‑by‑department – or user‑by‑user – customization, not a one‑size‑fits‑all playbook.
What You'll Do
- Personally drive AI adoption and best practices within Quoreka. Sit (physically or virtually) with individuals and small teams to get them using Gen AI in their day‑to‑day work.
- Conduct AI readiness assessments across business units – interviewing stakeholders, documenting how work gets done, and identifying high‑leverage use‑cases for Gen AI automation.
- Configure and orchestrate AI tools on Anthropic’s Claude stack, such as Cowork and Managed Agents, standing up working solutions for real problems across the business.
- As needed, track and report AI adoption and impact – time saved, productivity gains, token spend – while keeping in mind that these metrics take a back‑side to real commercial results.
What We're Looking For
We’re looking at people who want to change how business works and sou a.
- Must Haves
- 2 – 4 years in a cross‑functional role – consulting, implementation, business transformation, operations, strategy, product, or product operations.
- Hands‑on experience with Gen AI, business automation (e. g., Hub Spot, Clay), and knowledge management tools (e. g., Share Point, Confluence).
- Stakeholder management – you influence without authority at every level, from the front line to the C‑suite, and make change stick.
- Clear communication – you make technical concepts land with non‑technical audiences.
- How You Might Stand Out
- Familiarity with scripting (Python, Shell, VBA).
- Data fluency – you can read a dashboard, interrogate a metric, and derive insights.
- Exposure to AI agent orchestration, APIs, or automation platforms.
- Experience in PE‑backed or high‑growth technology environments.
- Why this Role
In this role, you'll have
- Exposure to Quoreka’s executive team from day one.
You'll take your findings and recommendations straight to the leaders who can act on them, and you'll own the change through to the result.
- The opportunity to drive transformational change, helping a business use Gen AI to deliver tangible commercial outcomes.
- Real downstream impact – your output will be directly used by commodities traders moving the raw materials, foodstuffs, and energy that make the world work.
- #J-18808-Ljbffr
Business Transformation Specialist employer: Quoreka
Quoreka is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Senior Product Manager role in Physical Metals Trading. With a strong emphasis on employee growth and collaboration across global markets, we offer unique opportunities to lead impactful projects while working alongside talented professionals in a supportive environment. Our commitment to developing world-class products ensures that you will find meaningful and rewarding employment here.
StudySmarter Expert Advice🤫
We think this is how you could land Business Transformation Specialist
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Quoreka!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace Business Transformation Specialist
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Quoreka, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Quoreka
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Quoreka’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
