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Huspy, a leading proptech company in Dubai, seeks a Data Analytics Lead to manage its analytics function. This role involves partnering with leadership to shape data-driven strategies and building an infrastructure that empowers teams across the organization. The ideal candidate will have experience leading analytics teams in fast-paced, data-driven environments, and a strong ability to connect data metrics with business value.
Founded in August 2020, Huspy started as a digital mortgage platform and quickly evolved into the largest proptech company in the EMEA region. Fast forward to today, we have over 500+ employees across 5+ offices in UAE and Spain. Backed by leading investors such as Sequoia, Balderton, Founders Fund, and Olayan, our mission is to revolutionize the real estate industry by building an all-in-one super app designed to empower agents and mortgage brokers.
We’re hiring a Data Analytics Lead to manage our analytics function and shape how Huspy uses data to drive decisions. This role sits at the intersection of strategy, product, and growth—supporting key company bets across business units and countries.
You’ll work closely with C-level, product, and tech leadership to establish a top-tier data function, scale the analytics team, and build the infrastructure, reporting, and processes that power Huspy’s next phase of growth.
Partner with C-level and business/product leads to shape strategy through data
Develop the infrastructure, tools, and reporting frameworks to enable company-wide data access and transparency
Support business expansion and product initiatives with actionable insights, modeling, and forecasting
Establish and maintain KPIs across business units to track performance and identify opportunities
Enable self-serve analytics and promote a culture of data-driven decision-making across teams
6–8 years of experience in data analytics, with 1–2 years leading people
Proven experience in fast-paced, data-driven environments (tech, marketplaces preferred)
Strong technical capabilities
Ability to work cross-functionally and communicate clearly with technical and non-technical teams
Experience building data processes and reporting infrastructure from scratch
Strong commercial acumen and ability to connect data with business value