At a Glance
- Tasks: Support bid management with data analysis and digital solutions for competitive tenders.
- Company: Join Siemens Energy, a leader in sustainable energy solutions.
- Benefits: Enjoy a competitive salary, bonuses, and lifestyle benefits like gym discounts.
- Other info: Collaborate with diverse teams and gain insights into live projects.
- Why this job: Make a real impact on energy transition while developing your skills in a dynamic team.
- Qualifications: Bachelor's degree in engineering with proficiency in Excel/Power BI.
The predicted salary is between 49500 - 60500 £ per year.
Siemens Energy and Siemens Gamesa are becoming Omterra. We energize society by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.
A Snapshot of Your Day
As a Bid Management Graduate - Data & Digitalisation, you will support the preparation, coordination and delivery of high-quality, competitive tenders while helping the Bid Management function make better use of data, digital tools and automation. The role will combine hands-on bid management experience with data analysis, reporting, process improvement and digitalisation. You will work alongside Bid Managers and cross-functional stakeholders including Sales, Engineering, Procurement, Commercial, Finance, Legal and Project Management.
How You’ll Make an Impact
- Support the Bid Management team throughout the tender lifecycle by coordinating plans, cross-functional inputs, governance, documentation, actions and lessons learned to enable high-quality submissions and effective handovers.
- Collect, analyse and report on bid and tender data to develop meaningful KPIs, identify performance trends and provide clear insights that support management decision-making.
- Identify and implement digital solutions, automation and responsible AI opportunities to simplify bid processes, improve workflows and support the successful adoption of new tools.
- Map and improve bid processes by removing inefficiencies, standardising ways of working, measuring improvement benefits and promoting data-driven practices across the Bid Management team.
- Develop and maintain accessible bid knowledge, templates and digital tools to improve information reuse, share best practices and capture lessons learned from completed tenders and improvement initiatives.
- Seek out opportunities that will strengthen your skills and enhance your knowledge to continue to support the business and your career development path.
What You Bring
- You should be working towards or have obtained a Bachelor's degree in an engineering subject achieving a 2:1 grade or above.
- Proficient in using Excel/ Power BI for data analysis and visualisation.
- Good general understanding of data structures and data quality with a keen interest in digitalisation, automation and AI.
- Are flexible, know how to connect with others and pride yourself on bringing positive, bright ideas to the team.
- Feel comfortable working and reporting at all levels of a multidisciplinary team.
About the Team
You will be part of the Bid Management Team, supporting Bid Managers and Commercial Sales Managers on a range of customer opportunities. This role will involve close collaboration with engineering, project management, commercial, planning, procurement, and legal teams based at our Heaton office, as well as engagement with wider business functions such as Installation and Commissioning. You will gain valuable insight into how bids are developed, reviewed, and submitted, and how successful proposals transition into live projects. Where appropriate, you may also have the opportunity to attend customer meetings and visit customer sites.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~107,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation. Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
A competitive salary and performance-based bonuses, pension scheme with a competitive employer contribution, 26 days holiday per annum, salary sacrifice schemes such as private medical & dental insurances, cycle to work, electric car scheme, discounted gym membership plus several other lifestyle benefits to suit you.
Data Analytics Graduate in Newcastle upon Tyne employer: Siemens Energy, Inc.
Siemens Energy is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the civil engineering sector. With a commitment to employee growth, you will have the opportunity to lead diverse projects across Great Britain and Ireland while benefiting from flexible working arrangements, comprehensive medical benefits, and a strong focus on diversity and inclusion. Join us to make a meaningful impact in the energy transition and develop your career in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Graduate in Newcastle upon Tyne
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We think you need these skills to ace Data Analytics Graduate in Newcastle upon Tyne
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 Siemens Energy, Inc., 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 Siemens Energy, Inc.. 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 Siemens Energy, Inc.
✨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!
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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 Siemens Energy, Inc.!
✨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.
