Associate Data Analyst

Arabian Private Holdings

Manchester, Manchester, England, United KingdomRemotepay unclear

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About the role The Associate Data Analyst role exists to translate complex datasets into clear, defensible logic for our firm and its clients. You will provide the quantitative foundation for our advice, specifically supporting an ongoing mandate with a Manchester-based infrastructure organization to help them structure their operational reporting. This position is necessary to ensure our principals can form a view based on rigorous facts rather than intuition alone. About Arabian Private Holdings Arabian Private Holdings was established on the premise that critical business problems do not require large consulting teams or bloated methodology decks. We work with a limited number of holding companies, family groups, and government entities to provide honest, independent advice on governance and operating model efficiency. Our firm is principal-led, meaning the people who analyze the data are the same people who present the findings to the board. We operate as a fully remote firm, focusing our resources on the quality of our analysis and the strength of our client relationships rather than traditional office overhead or aggressive expansion targets. What you will do Support active mandates by collecting and organizing messy data from various client sources. Help form a view on the performance of specific assets within a client portfolio. Conduct research on market trends within the infrastructure and utility sectors to provide context for our analysis. Clean and structure internal datasets to improve the speed of our decision making. Draft clear, concise summaries of data findings that avoid jargon and focus on clarity. Monitor key performance indicators for holding companies to identify long-term trends. Assist in the review of corporate governance frameworks by auditing data flows and reporting structures. Collaborate with our principals to refine our analytical approach for specific client problems. What we are looking for A high degree of curiosity regarding how large organizations and infrastructure projects function. The ability to explain a complex dataset in simple, plain English without relying on buzzwords. Logical rigor and the intellectual honesty to admit when the data does not support a current hypothesis. Basic familiarity with spreadsheets and a structured approach to problem solving. A preference for clarity over complexity in all written and numerical work. The self-discipline to manage tasks and meet deadlines in a fully remote setting. How we work Our firm operates entirely remotely, which allows us to find the best talent regardless of where they are located. We value output and precision over traditional corporate rituals. As this is an entry level role, you will work closely with our principals, receiving direct feedback on your work and your reasoning. We do not use layers of management. Instead, we encourage a culture where the merit of an argument is more important than the seniority of the person making it. Communication is frequent but focused, generally conducted through written notes and brief video calls to ensure we remain aligned on our active mandates. What the role offers Direct involvement in high-level strategy and governance mandates for significant regional entities. Professional development through close mentorship from experienced firm principals. The autonomy of a fully remote role with a focus on results rather than hours spent at a desk. A working environment that prioritizes evidence-based analysis and clear communication. Attractive and competitive pay for an entry level position in the data analysis field. Please mention the word **READABLE** and tag RMjA4Ljc3LjI0NC4xMjU= when applying to show you read the job post completely (#RMjA4Ljc3LjI0NC4xMjU=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human. Tags: marketing, linguistics, education, content writing, non tech, video, illustrator, finance, c, designer, analyst, consulting, customer support, exec, data science, ops

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