Danielle Nisenson, M.A.
About Danielle Nisenson, M.A.
Danielle Nisenson, M.A., is a Research Analyst at Kinship in New York, specializing in international research projects and data analysis. She holds a Master's degree in Clinical Psychology from Montclair State University and has over three years of experience in behavioral science research.
Work at Kinship
Danielle Nisenson has been employed as a Research Analyst at Kinship since 2020. In this role, she focuses on conducting international research projects to assist in the expansion of various products into global markets. Her responsibilities include performing end-to-end research processes, which encompass survey creation and compiling insights into comprehensive reports that feature data visualizations. She has contributed to the company's research initiatives for four years while based in New York, New York.
Education and Expertise
Danielle holds a Master's degree in Clinical Psychology from Montclair State University, which she completed from 2018 to 2020. Prior to that, she earned a Double Bachelor's degree in Psychology and Information Technology/Informatics from Rutgers University, graduating in 2018. Her educational background equips her with a strong foundation in behavioral science and data analysis. She is fluent in various research and data analysis software, including Survey Monkey, Alida, MarketSight, UserTesting.com, and UXTweak.
Background
Before joining Kinship, Danielle gained valuable experience as a volunteer App Reviewer at One Mind PsyberGuide for three months in 2020. She also worked as a Research Intern at Kessler Foundation from 2019 to 2020, where she contributed to research projects for eight months. Additionally, she spent a year in a biomedical engineering facility, where she researched the effects of Robotic Exoskeletons. Overall, she has over three years of experience working in various behavioral science laboratories.
Research Skills and Contributions
Danielle Nisenson is skilled in conducting comprehensive research processes. She performs tasks ranging from survey creation to the compilation of insights into detailed reports. Her work often includes data visualizations that enhance the clarity of research findings. Through her various roles, she has demonstrated a commitment to advancing knowledge in the field of behavioral science and contributing to international research initiatives.