At a Glance
- Tasks: Collaborate with teams to define product outcomes and translate complex needs into actionable items.
- Company: Join a leading company in energy and utilities, driving innovation in engineering.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to engage with diverse stakeholders and enhance your skills.
- Why this job: Make a real impact by improving processes and supporting data-driven decisions.
- Qualifications: 12-15 years of Business Analysis experience, ideally in complex engineering or data-heavy environments.
The predicted salary is between 57036 - 69710 £ per year.
Key Responsibilities
- Product, Requirements & Delivery
- Work with Product Owner, Product Manager and business SMEs to define clear product outcomes for DLR, Digital Twin and Network Design capabilities.
- Lead requirement discovery, stakeholder interviews, workshops and refinement sessions.
- Translate complex engineering, operational and business needs into epics, user stories, acceptance criteria and delivery-ready backlog items.
- Ensure requirements are traceable from business objective to product feature, data need, process change and measurable benefit.
- Support prioritisation by assessing value, risk, complexity, dependency and operational impact.
- Work closely with solution architects, data engineers, testers and developers to ensure requirements are understood and delivered correctly.
- Data-Driven Decision Making
- Identify what data is required to support better operational and planning decisions.
- Work with data analysts and engineering SMEs to validate data quality, source systems, assumptions and business rules.
- Support the creation of evidence-based recommendations for product and process improvements.
- Ensure decisions are supported by facts, trends, operational evidence and measurable impact.
- Process, Visibility & Governance
- Map current-state and future-state processes across DLR, Digital Twin and Network Design workflows.
- Identify process gaps, handoff issues, manual workarounds, duplication and control weaknesses.
- Create clear process documentation, SOPs, runbooks, operating models and user guidance.
- Improve visibility of delivery status, decision points, dependencies, risks and business outcomes.
- Support governance forums with clear analysis packs, decision logs, RAID updates and executive-level summaries.
- Stakeholder Engagement
- Engage confidently with technical and non-technical stakeholders across engineering, operations, asset management, data, digital and delivery teams.
- Facilitate alignment between business users, SMEs, product teams and technology delivery teams.
- Challenge constructively where requirements are unclear, assumptions are weak, or value is not defined.
- Communicate complex topics in a simple, structured and business-friendly way.
- Support senior stakeholders with concise updates, options analysis and recommendation papers.
- Support effective backlog management and refinement with the Product Owner.
- Build trusted relationships with engineering, digital, data and business stakeholders.
Essential Skills & Experience
- 12–15 years of Business Analysis experience, ideally in energy, utilities, asset management or complex engineering environments.
- Strong understanding of Business Analysis services.
- Experience working on data-heavy products, engineering platforms, digital twins, analytics products or operational decision-support tools.
- Strong Agile delivery experience, including epics, user stories, acceptance criteria, refinement and backlog management.
- Excellent process mapping skills using tools such as Visio, or similar.
- Strong data analysis mindset, with ability to define KPIs, reporting needs, business rules and decision criteria.
- Experience working with cross-functional teams including Product Owners, architects, engineers, developers, testers and data teams.
- Ability to create executive-ready documentation, options papers, decision packs and product artefacts.
- Strong stakeholder management and communication skills.
- Confident facilitator who can lead workshops and bring structure to ambiguity.
Business Analyst in Warwick employer: Test Yantra
As a Senior AI Architect at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and creativity. We offer competitive benefits, including professional development opportunities and access to cutting-edge technology, all within a vibrant location that fosters both personal and professional growth. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of AI and making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst in Warwick
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨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 Test Yantra!
✨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.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Analyst in Warwick
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 Test Yantra, 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 Test Yantra
✨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 Test Yantra’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.
