Data Support Analyst

Company: Tech Pipeline

Tech Pipeline works directly with operations teams to fix the specific points where their business processes break down. For this role, we are working with our partner, a London-based investment firm, to resolve issues within their data reporting and trade reconciliation workflows.
About the role
The Data Support Analyst focuses on the technical reality of how data moves from one system to another. At many firms, as the volume of transactions grows, the pipelines connecting trading platforms to internal accounting tools start to drift. You will be tasked with identifying where the source of truth is failing. This might involve looking at a stuck approval chain, finding a mismatch in a spreadsheet, or identifying a routing rule that is no longer valid. This is a fully remote position where you will spend your time tracing data through various logs and interfaces to ensure the client's daily operations are smooth and accurate.
What you will be doing
* Reviewing daily error logs to find where automated data transfers between investment platforms have failed.
* Manually reconciling internal records against external bank statements to pinpoint and fix discrepancies.
* Updating internal documentation and standard operating procedures to reflect new fixes and workflows.
* Checking routing rules within the CRM and trade management systems to ensure data reaches the correct teams.
* Using spreadsheet functions to clean messy transaction histories or contact lists before they are imported.
* Tracing specific data points from the moment of entry to the final reporting dashboard to find points of friction.
* Participating in weekly technical reviews to explain the specific data issues you identified and resolved.
What we need from you
* A logical approach to solving technical puzzles and a curiosity about how different software systems communicate.
* Basic familiarity with Excel or Google Sheets, specifically using formulas to identify errors and organize information.
* Strong written communication skills, as our remote work relies heavily on clear and concise documentation.
* The ability to work independently and maintain a steady rhythm of tasks without constant supervision.
* A willingness to learn the specific language of investment operations and fintech platforms.
* Great attention to detail when looking at long lists of numbers or configuration settings.
Helpful background
* Previous experience with basic SQL or a scripting language like Python from university projects or personal study.
* Prior work or internship experience in an office environment where you were responsible for data entry or reporting.
* An interest in how financial markets and investment firms manage their daily trade data.
What the role offers
* Full-time, permanent employment with a focus on long-term professional growth in data operations.
* A fully remote work arrangement, allowing you to perform your duties from any quiet location.
* Paid employment with a salary that is competitive for the entry-level market.
* Direct exposure to the technical infrastructure of a professional investment firm.
* Hands-on training from a team that values ground truth and technical accuracy over corporate theory.
* A work culture that prioritizes focus and results, with minimal time spent in unnecessary meetings.
Working at Tech Pipeline
We do not operate like a typical consultancy. We don't spend our time building abstract frameworks or long slide decks. Instead, we sit with the people doing the work and fix the specific problems that are slowing them down. Our communication style is direct and grounded in data. We rely on weekly updates and shared documentation rather than a calendar full of status calls. Because we are a remote team, we place a high value on self-sufficiency and the ability to explain technical problems through writing. We stay with our clients through the first month of any new system to ensure it works in practice, and our ultimate goal is to leave them with a process they can manage entirely on their own.

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