At a Glance
- Tasks: Support innovative energy projects by translating complex needs into clear product outcomes.
- Company: Join a leading energy company focused on digital transformation and sustainability.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real impact in the energy sector while developing your analytical skills.
- Qualifications: 12-15 years of Business Analysis experience, ideally in energy or engineering.
The predicted salary is between 57036 - 69710 £ per year.
Role Overview
- We are looking for an experienced, outcome-driven
- Business Analyst to support the delivery of
Dynamic Line Rating, Digital Twin and Network Design capabilities within the energy transmission environment.
This role requires someone who can operate beyond traditional requirements gathering. The ideal candidate will bring strong core BA competencies , the ability to work with engineering and data teams, and the confidence to turn complex operational needs into clear product outcomes, data-driven decisions, process visibility and measurable business value.
You will work closely with Product Owners, Product Managers, engineers, architects, data teams, operational SMEs and delivery teams to shape requirements, improve processes, define product features, strengthen governance, and create visibility across delivery, decisions and outcomes.
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.
- #J-18808-Ljbffr
Data Business Analyst in Warwick employer: TestYantra Software Solutions
At TestYantra Software Solutions, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development, particularly in the rapidly evolving fields of Public Sector and Energy. Located in a vibrant area, we provide unique advantages such as flexible working arrangements and a strong focus on work-life balance, making us an ideal choice for those seeking meaningful and rewarding employment.
Contact Details:
TestYantra Software Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst in Warwick
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TestYantra Software Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Business Analyst at TestYantra Software Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TestYantra Software Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Business Analyst at TestYantra Software Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Business Analyst in Warwick
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TestYantra Software Solutions, 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 TestYantra Software Solutions. 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 TestYantra Software Solutions
✨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
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 TestYantra Software Solutions!
✨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.
