At a Glance
- Tasks: Audit and structure data to support high-stakes consulting projects.
- Company: Blue Oak Consulting, an independent advisory firm focused on uncovering financial truths.
- Benefits: Competitive pay, hybrid work, mentorship, and exposure to real-world business analysis.
- Other info: Unique opportunity to develop commercial intuition in a supportive environment.
- Why this job: Gain hands-on experience in data operations and learn from seasoned advisors.
- Qualifications: Strong Excel skills, attention to detail, and a basic understanding of financial terms.
The predicted salary is between 25000 - 32000 £ per year.
We are seeking a Data Operations Assistant to help organize and verify the operational data underpinning our current engagements. Right now, we are working closely with a major UK infrastructure firm to stress test their capital allocation models and cost assumptions across several massive projects. This entry-level role is designed to ensure that the baseline inputs we use in our quantitative models are accurate, clean, and complete before we begin our economic analysis.
About the role
As a Data Operations Assistant, you will sit at the foundation of our analytical workflow. You will support our consulting team by gathering, cleaning, and structuring raw data from our clients. For our ongoing engagement with a major UK infrastructure firm, this means auditing asset registers, capital expenditure records, and procurement lists to identify revenue vulnerability and verify pricing architecture. You do not need years of corporate experience to succeed here, but you do need an orderly mind and a healthy skepticism toward messy spreadsheets. This is a hybrid role, combining the focus of working from home with regular, structured in-person collaboration sessions to review model logic and coordinate project milestones.
What you will be doing:
- Auditing large client datasets to identify missing values, duplicates, and calculation errors.
- Translating raw operational reports into structured formats for use in financial models.
- Researching external benchmarks for operating costs to help us stress test client assumptions.
- Assisting our consulting team as we map out the downside case for key infrastructure works.
- Documenting data sources and verification steps so our senior consultants can trace every figure back to its origin.
- Flagging material inconsistencies in client data, such as mismatches between operational capacity and reported revenues.
- Assisting with the initial setup of data rooms and file directories for new client engagements.
What we are looking for:
- Strong practical skills in Microsoft Excel and basic data manipulation.
- An eye for detail and the willingness to question why a number does not look right.
- Basic understanding of financial terms, including revenue, cost, and capital expenditure.
- An orderly, systematic approach to organizing files and documenting logic.
- Clear communication skills, particularly when explaining data anomalies to the team.
- Ability to work productively in a hybrid environment, balancing independent work with team sessions.
What the role offers:
- Competitive pay that reflects the analytical value you bring to the firm.
- A hybrid working arrangement that provides flexibility alongside structured team time.
- Direct exposure to high-stakes advisory work, learning how to analyze business models from the ground up.
- Mentorship from experienced advisors who value accuracy and intellectual honesty over corporate presentation.
- A workplace culture focused entirely on finding the truth in the numbers.
At Blue Oak Consulting, we do not believe in making decisions based on momentum or institutional comfort. Our independent status means our only obligation is to find and report the truth to our clients. For an entry-level analyst, this environment offers a unique opportunity to build real commercial intuition. You will learn to see past standard strategic statements and understand the underlying economic logic that actually drives complex businesses.
Data Operations Assistant in Birmingham employer: Blue Oak Consulting
Blue Oak Consulting is an exceptional employer that prioritises accuracy and intellectual honesty, providing a unique opportunity for entry-level Data Operations Assistants to engage in high-stakes advisory work. With a hybrid working model that balances flexibility with structured team collaboration, employees benefit from competitive pay, mentorship from experienced advisors, and a culture dedicated to uncovering the truth behind the numbers. This role not only fosters professional growth but also allows individuals to develop a deep understanding of economic logic in complex business environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Assistant in Birmingham
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We think you need these skills to ace Data Operations Assistant in Birmingham
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Blue Oak Consulting, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Blue Oak Consulting aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Blue Oak Consulting
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!