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Arabian Private Holdings seeks a Data Analyst Assistant to organize data, build dashboards, and translate numbers into narratives for board review. This Dubai-based environment requires precision and clear visualization.
You will work remotely with mentors, handling data across portfolio companies, supporting governance and strategy with rigorous analysis.
The Data Analyst Assistant role is central to our current engagement with a Dubai-based investment firm that requires precise data handling and clear visualization. This position provides the quantitative groundwork that allows our principals to form a view on complex corporate governance and strategy questions. We need an assistant who can organize messy data sets into logical structures that reveal the health and performance of a holding company.
Arabian Private Holdings was founded on the principle that many critical business problems do not fit the traditional large-firm consulting model. A board facing a succession question or a family group weighing a capital injection does not need a team of twelve associates and a hundred-page methodology deck. They need experienced partners who can sit with a problem, form a rigorous view, and defend it. We take on a limited number of mandates to ensure that every client receives direct attention from the principals who are actually accountable for the outcome. Our work covers corporate strategy, governance, and operating model efficiency for some of the most significant family groups, listed corporations, and government entities in the region. We focus on clarity over complexity. We operate as a remote firm, choosing to prioritize the quality of our analysis and the strength of our relationships over traditional office overhead or aggressive growth targets.
We operate as a fully remote firm, which means we rely on clear documentation and asynchronous communication. Because our work involves sensitive mandates for high-profile clients, we maintain a high standard of professional conduct and data security. You will work closely with a principal who provides direct mentorship and expects you to form your own view on the data you analyze. We do not value long hours for the sake of appearances. Instead, we focus on the rigor of the output and the clarity of the logic. This remote model allows us to hire individuals based on their intellectual capability rather than their physical location, ensuring we can provide the best possible advice to our clients.