At a Glance
- Tasks: Join us to enhance decision analytics and implement innovative solutions for our clients.
- Company: The Woodhouse Partnership Ltd, part of RSK Group, a leader in decision support tools.
- Benefits: Competitive salary, flexible benefits, mental health support, and ongoing training opportunities.
- Other info: Hybrid work model with opportunities for career growth and skill development.
- Why this job: Make a real impact in asset management and analytics while working with cutting-edge technology.
- Qualifications: Experience in technical consulting, data analytics, and decision support is preferred.
The predicted salary is between 50000 - 60000 £ per year.
The Woodhouse Partnership Ltd, part of RSK Group, is hiring for a Decision Analytics & Implementation Consultant (DST) to join the team on a Hybrid basis from the head office in Kingsclere, Newbury, Hampshire, UK. The purpose of the role is to strengthen TWPL’s Decision Support Tool capability by combining technical excellence, data analytics, and client consulting.
Key Responsibilities:
- Configure and validate decision models — value frameworks, risk models, lifecycle costing, constrained portfolio optimisation — ensuring they’re technically sound, practical to use, and aligned to each client’s strategic context.
- Prepare, cleanse and structure data with clients; define minimum viable datasets; establish repeatable data pipelines and quality checks that enable robust insights.
- Design scenario and sensitivity analyses that help executives see trade-offs clearly and make confident, defensible decisions.
- Facilitate cross-functional client workshops that bring together engineering, finance, operations and leadership teams to build shared understanding, strengthen consensus, and secure commitment to decisions.
- Design and deliver high-quality training — onboarding, analyst deep dives, admin training, and train-the-trainer pathways — building competent users who understand not just how to use DST, but why it works.
- Create practical exercises, guides and assessments that support learning and adoption.
- Support the Woodhouse Academy, embedding DST into wider capability-building programmes.
- Gather structured feedback from clients and consultants; convert insights into user stories, acceptance criteria, and clear requirements that improve usability, performance, and value delivery.
- Participate in testing and release validation, making sure each update is dependable and grounded in real-world use cases.
- Maintain high-quality documentation — configuration guides, release notes, integration instructions, and knowledge-base content.
- Build compelling presales assets — demo environments, white papers, case studies, ROI narratives — and act as a trusted technical voice in proposals and discovery calls.
- Develop dashboards and BI outputs that communicate insights to technical and non-technical audiences.
- Participate in industry events and user groups — share stories, lessons, and best practices that showcase DST’s credibility and expand its user community.
Person Specification:
- Ideally 4 to 7 years in technical consulting or product specialist roles within analytics, asset management, or decision support, ideally in B2B or professional services.
- Proven configuration of decision or investment models: lifecycle cost modelling; risk and consequence analysis; portfolio constraints; scenario and sensitivity analysis.
- Hands-on data skills: advanced Excel; ideally also practical experience in SQL, Python, R or SAS.
- Experience preparing, cleansing, and validating data for modelling and BI.
Desirables:
- Familiarity with the SALVO methodology and DST Evaluator Suite software for structured, value-based decision-making.
- Experience with EAM systems (Maximo, SAP).
- Familiarity with ISO 55000 principles, reliability engineering, performance and risk management, lifecycle costing methodologies.
- Portfolio optimisation concepts and solver-based modelling.
- Experience with cloud analytics platforms (Azure, AWS), ETL tools, API development, dashboards.
Salary & Benefits:
- £50,000 - £60,000 per annum + performance based bonus
- Free on-site car parking
- Contributory Pension Scheme
- A flexible benefits programme including the option to buy additional holidays and private health care
- Cycle to Work Scheme
- Mental Health Support
- Digital GP Service
- Life Assurance and Health Cash Plan
- Regular training and development
A full job description is attached to the advert that outlines a full range of responsibilities and information on the role.
Decision Analytics & Implementation Consultant (DST) in Newbury employer: RSK Group
The Woodhouse Partnership Ltd, part of RSK Group, is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Kingsclere, Newbury. With a strong commitment to employee growth, we offer extensive training opportunities, a flexible benefits programme, and a supportive environment that prioritises mental health and well-being. Join us to be part of a global team dedicated to delivering impactful decision analytics solutions across asset-intensive sectors, while enjoying competitive compensation and a range of attractive perks.
StudySmarter Expert Advice🤫
We think this is how you could land Decision Analytics & Implementation Consultant (DST) in Newbury
✨Tip Number 1
Network like a pro! Reach out to current employees at The Woodhouse Partnership or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by understanding their decision support tools inside out. We should be ready to discuss how our skills in data analytics and client consulting can directly benefit their projects.
✨Tip Number 3
Showcase our hands-on experience with data skills during interviews. Whether it's Excel, SQL, or Python, let’s highlight how we've used these tools to drive insights and decisions in past roles.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email reiterating our enthusiasm for the role can keep us top of mind and show our genuine interest in joining their team.
We think you need these skills to ace Decision Analytics & Implementation Consultant (DST) in Newbury
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in decision analytics and implementation. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Since this role involves a lot of data manipulation and model configuration, be sure to mention your hands-on experience with tools like Excel, SQL, or Python. We love seeing candidates who can demonstrate their technical prowess!
Highlight Your Consulting Experience:As a Decision Analytics & Implementation Consultant, client interaction is key. Share examples of how you've successfully worked with clients in the past, especially in facilitating workshops or delivering training sessions.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at RSK Group
✨Know Your Decision Models
Make sure you understand the various decision models mentioned in the job description, like lifecycle costing and risk models. Be ready to discuss how you've configured or validated similar models in your past roles.
✨Show Off Your Data Skills
Brush up on your data manipulation skills, especially in Excel, SQL, or Python. Prepare to share specific examples of how you've prepared and cleansed data for modelling and BI, as this will be crucial for the role.
✨Prepare for Client Workshops
Think about your experience facilitating cross-functional workshops. Be ready to explain how you've brought together different teams to build consensus and make decisions, as this is a key part of the job.
✨Feedback is Key
Understand the importance of gathering structured feedback from clients. Be prepared to discuss how you've converted insights into actionable improvements in previous roles, showcasing your ability to enhance usability and performance.
