Data Analyst

About the Opportunity

Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions?

We are launching a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate. Led by Dr. Usama Fayyad, the Institute for Experiential AI (IEAI) is built around the challenges and opportunities made possible by human-machine collaboration. The institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable. Located in Northeastern’s Roux Institute in Portland, Maine, the institute has the goal to support the growth of the Maine tech economy.

This role collaborates with researchers and data scientists from various fields including Applied Analytics, Bioinformatics, Biotechnology, Computer Science, Cybersecurity, Genomics, Health Data Analytics, Law & Ethics, Neuroscience, and Therapeutics discovery. General research and interpersonal skills are especially valued. We are building a new team together to deliver the true promise of AI, which lies at the intersection of humans and intelligent machines.

The Culture

Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique community that works on high-impact business and societal problems.

Position Summary

This position supports the Institute in delivering analytics solutions to its industry partners and researchers. You will help build responsibly-built AI products that will solve the most pressing issues for organizations through consulting engagements across domains and industries. You will be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and use artificial intelligence tools to support the Institute’s mission.

Qualifications

Education & Experience

Bachelor’s degree, preferably in a quantitative field or evidence that you have taken a quantitative approach to projects since your degree. Candidates with some professional experience or a portfolio of applied projects will be preferred.

Knowledge and Skills

• Experience working with data tools to derive insights from datasets.
• Evidence of working with business stakeholders to define complex problems into actionable data-driven solutions.
• Experience with SQL and experience working with databases.
• A portfolio showcasing projects in which you started with a business problem and used data analyses to inform a business decision.
• Familiarity with basic statistical principles (e.g. probability, distributions, hypothesis testing).
• Experience with designing visualizations and/or dashboards.

Preferred

• Experience working with scripting languages for analytics such as Python, R, Julia, etc.
• Master’s degree in a quantitative field or a field with an applied domain area such as energy, financial, product, marketing, or medical sectors.
• Experience with data pipelines, data migration, data cleaning.
• Experience with user-facing tools such as Tableau, RShiny, or other user-interfaces with a strong connection to data analysis and visualization.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with Agile project management practices.
• Domain expertise in one of health, financial, energy, product/marketing, or some other business sector.

Values & Abilities

• Aptitude to independently learn new technologies, prototype, and propose software design and solutions.
• Excellent verbal and written communication skills.
• Drive to learn new technologies, statistical methods, and data manipulation techniques.
• Ability to communicate effectively across academia and industry.
• Team-player who can collaborate effectively across many teams within the university.
• Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University.
• Entrepreneurial mindset with an ability to navigate complex structures and processes.

Position Type

Data Planning and Analysis

Additional Information

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see .