Live opening · Posted 4 days ago
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About the role
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Company Description Aleph-Labs is a creative engineering company headquartered in Singapore and operating across the Asia Pacific region. The team of nearly 300 professionals collaborates across borders to design and build financial, internet, mobile, and desktop solutions for diverse clients. With deep expertise in both technology and design, Aleph-Labs bridges the gap between user experience and engineering to deliver functional, flexible products. The company is strongly user-centric, focusing on applications that people enjoy using and clients are proud to own. Aleph-Labs fosters a collaborative culture that encourages talent to solve complex problems and turn ambitious ideas into reality.
Role Description The Senior Data role is a full-time remote position responsible for leading data initiatives that support product development, client projects, and internal decision-making. This role involves designing and implementing data models, managing data pipelines, and transforming raw data into actionable insights. The individual will perform advanced data analysis, collaborate with cross-functional teams to define data requirements, and present findings to stakeholders in a clear, business-focused manner. Daily activities include building dashboards and reports, validating data quality, optimizing data workflows, and mentoring other data professionals. The Senior Data professional will also help shape data strategy, promote best practices, and ensure data solutions align with Aleph-Labs’ user-centric and design-focused approach.
Qualifications
Strong proficiency in Data Analytics and Data Analysis to translate complex data sets into clear, actionable insights.
Demonstrated Analytical Skills and experience with Data Management to ensure data accuracy, integrity, and effective governance.
Hands-on expertise in Data Modeling to design scalable, efficient data structures and support reporting, product, and application needs.
Experience with SQL and at least one programming language for data work (such as Python or R), and familiarity with modern data tools or platforms.
Background in building dashboards and reports using business intelligence tools (for example, Tableau, Power BI, or similar solutions).
Bachelor’s degree in a quantitative field (such as Computer Science, Statistics, Mathematics, Information Systems) or equivalent practical experience.
Ability to work effectively in a remote, cross-functional, and multicultural environment, with strong communication and collaboration skills.
Experience in product-focused or user experience–driven environments, especially within digital, financial, or technology sectors, is an advantage.
Work arrangement
Yes
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