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 Blue Oak Consulting
Blue Oak Consulting is an independent advisory firm focused on commercial decisions where the answer is not obvious. We help management teams and investors look past standard corporate slide decks to see the real financial consequences of their choices. Our work centers on testing the economic logic behind pricing architecture, capital allocation, and acquisition assumptions. We do not run large, junior-heavy teams. Instead, we work on project-based engagements that require deep skepticism and a focus on what the numbers are actually hiding. Because we are independent and not compensated based on transaction outcomes, we have the freedom to tell clients when the economics of a deal do not hold.
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.