Data Analytics Specialist for Proptech Revolution
hace 5 días
$120,000 - $180,000 per year
About UsHuspy is a leading proptech company in the EMEA region, backed by top investors and boasting rapid growth. We're on a mission to revolutionize the real estate industry with an all-in-one super app.
Your RoleYou'll join our Data team as a Senior Product Data Analyst, providing insights that shape Huspy's product strategy and drive user experience. Your expertise will inform feature development, guide product direction, and ensure alignment with business objectives.
Key Responsibilities- Track and analyze product performance, identifying trends and improvement areas through key metrics like user engagement and feature usage.
- Design and conduct A/B tests and experiments, delivering data-driven recommendations to influence product roadmaps.
- Optimize feature rollouts via user behavior analysis, enabling fast, iterative improvements.
- Collaborate across teams to translate analytics into actionable strategies and ensure alignment with business objectives.
- Prepare reports, visualizations, and presentations to communicate insights and influence stakeholder decisions.
We're seeking a skilled professional with:
- A minimum of 5-8 years of experience in product analytics or a similar role.
- Advanced SQL and Python skills for data extraction, manipulation, and analysis, along with experience in libraries like Pandas, NumPy, and Matplotlib.
- Knowledge of product analytics tools (e.g., Amplitude, Mixpanel, or Google Analytics).
- Experience with experimentation platforms, statistical concepts, and data visualization tools like Tableau.
- Familiarity with data warehousing and data transformation processes, as well as data management platforms like Airflow and dbt.
- Excellent communication skills to convey complex analytical concepts to both technical and non-technical stakeholders.
- A collaborative spirit and ability to work effectively in cross-functional teams.
- A Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Computer Science), with a Master's degree a plus.
- Hands-on experience with our tool stack, including Amplitude, Snowflake, Tableau, Airflow, and dbt.
- Advanced statistical knowledge, including familiarity with machine learning basics and predictive modeling.
- Experience in data-driven organizations, particularly those with fast-paced environments where data directly informs product decisions.
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