Role Description This part-time remote Data Analyst / Data Scientist role supports the Minnesota Journalism Center’s research and data-driven initiatives. The person in this role will collect, clean, and organize data from various journalism-related sources, including surveys, audience metrics, and public datasets. They will conduct quantitative analyses, build data models, and generate insights that inform programs, partnerships, and publications. Day-to-day work includes designing and running statistical analyses, creating clear visualizations and reports, and translating complex findings into accessible narratives for journalism stakeholders. The role also involves collaborating with Center staff, faculty, and newsroom partners to define research questions, ensure data quality, and support evidence-based decision-making.
Qualifications
Strong Analytical Skills and Data Analytics abilities to explore datasets, identify patterns, and derive actionable insights.
Proficiency in Statistics and Data Modeling to design studies, build predictive or explanatory models, and validate results.
Clear Communication skills to present complex data in accessible ways to non-technical audiences, including journalists and media partners.
Experience with data analysis tools (e.g., Python, R, SQL, or similar), plus familiarity with data visualization platforms (e.g., Tableau, Power BI, or equivalent).
Ability to work independently in a remote environment, manage multiple projects, and meet deadlines with minimal supervision.
Understanding of or interest in journalism, media, or social science research, including ethical considerations in working with data.
Bachelor’s degree or equivalent experience in data science, statistics, computer science, social sciences, or a related field; graduate-level study is a plus.
Experience collaborating with cross-disciplinary teams and documenting methods and results for future replication or transparency.

Data Analys / Data Scientist

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