Data Scientist

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Ajah

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Enterprise

Ajah, now known as DARO, is a company that specializes in building functional systems for organizations with real-world positive impact. DARO focuses on digital transformation, data architecture, and evaluation and measurement, offering solutions that prioritize people, risks, and program objectives. They work beyond technical systems to include change management, organizational design, and governance, ensuring long-term effectiveness and ethical application of technology.

11 - 50 employees

🏢 Enterprise

📋 Description

• Work with a wide range of data types including donation data, transaction records, government and census data, nonprofit tax filings, survey data on perceptions and activity, and philanthropic investment account data, gathered from collaborators and institutional partners in the nonprofit ecosystem • Develop quarterly reports on sector-wide trends in monetary giving using transaction records • Enhance core data and analytical pipelines by improving data quality validation, automating recurring processes, and implementing methodological updates in workflows to support evolving analytical needs • Deliver and write analyses with actionable insights and communicate these findings to cross functional stakeholders of varying technical levels • Manage key datasets and improve their usability by creating database dictionaries and user documentation • Create impactful data visualisations and interactive data dashboards for stakeholders

🎯 Requirements

• Demonstrated interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes • Advanced analytical skills in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and tools • Experience with statistical methods including hypothesis testing, regression analysis, and sampling techniques for the purposes of social science research (such as economics, mixed methods) and/or business analytics • Experience working with scripting languages (Python required) and data querying languages (SQL preferred) • Solid data visualisation skills and an aptitude for translating technical outputs into compelling stories • Experience with software development tools and practices (e.g. version control, testing outputs, and applying QA processes) • Understanding of legislation around privacy and best practices for securing data • Solid relationship management skills, with the ability to collaborate with a variety of internal and external stakeholders on complex research initiatives • Outstanding written and oral communication skills in English and an ability to communicate clearly and directly • Attention to detail and ability to synthesise diverse datasets.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events