Art and Wellness Enterprises (AWE) seeks to improve internal processes and decision-making across its ecosystem of non-profits through data-driven initiatives, leveraging AI and automation.
Requirements
- Demonstrated proficiency in Python and SQL. Academic or project-based experience is welcome.
- Familiarity with data sourcing and preparation using formats such as CSV, JSON, or APIs.
- Working knowledge of AI/ML tools and frameworks is desirable.
- Experience handling large datasets with attention to data integrity, structure, and accuracy.
- Familiarity with Jupyter Notebooks, dbt, Snowflake, or similar tools is a plus.
- Experience with prompt engineering or interaction with LLMs (e.g., OpenAI, Hugging Face) is a plus.
- Exposure to data visualization tools (e.g., Looker, Tableau, or PowerBI) is a plus.
Responsibilities
- Clean, validate, and structure raw datasets from diverse internal and external sources to ensure data accuracy and usability.
- Write and optimize SQL queries to extract, manipulate, and summarize data from multiple data sources for reporting and analytics purposes.
- Develop simple automation scripts and data tools using Python (such as pandas, NumPy, or similar libraries) to automate and streamline processes and improve data handling efficiency.
- Assist in building workflows that integrate AI models (e.g., LLMs or classifiers) into business processes to support automation and data-driven decision-making.
- Support the creation and maintenance of reports, dashboards, and data visualizations that deliver insights to business teams across the organization.
- Help document data processes, techniques, and workflows to build a growing library of reusable scripts and resources, for ongoing team reference and knowledge sharing.
- Collaborate with cross-functional stakeholders to identify and resolve data-related challenges and proactively suggest improvements where applicable.
Other
- Bachelor’s degree in data science, statistics, computer science, or a related field preferred.
- 0-2 years of experience in data analytics, data science, or equivalent internships/projects.
- Experience in complex organizations, such as healthcare, higher education, museum/cultural institutions, nonprofits, or multi-entity structures, is preferred.
- Strong communication skills, including the ability to translate complex data into clear actionable insights, document processes, and present findings effectively to both technical and non-technical stakeholders.
- Excellent customer service skills with the ability to handle competing demands professionally and efficiently.
