Research Analyst in Oakland, CA
EMC Research
National Polling and Market Research firm seeks Research Analysts
EMC Research, Inc. is a full-service research firm, specializing in polling, focus groups, and public opinion research consulting with offices in Columbus, Oakland, Portland, Seattle, and Washington, DC. At EMC Research, we see research as a service, not just a product. We know it's not just about the numbers; it's what the numbers mean and how they can help our clients achieve their goals. Our clients include political campaigns, government agencies, corporations, nonprofits, transportation agencies, health care organizations, and others.
We are currently seeking Analysts in our Oakland office. The Analyst will learn data management processes and use statistical programs like SPSS and R to analyze survey and market research data. Additional tasks may include assisting with questionnaire design, sample design, proposal writing and presentation design for quantitative and qualitative research projects.
This position requires a self-motivated, data-focused problem solver who is interested in social behavior, public opinion and politics, and can thrive in a fast-paced environment. EMC Research is an equal opportunity employer, offering competitive salaries and generous benefits, in addition to a casual and fun work environment.
Minimum Qualifications:
-Bachelor’s degree with strong quantitative skills
-High level of attention to detail
-Deadline driven and able to produce high-quality work within short timelines
-Excellent written and verbal communication and analytical skills
-Proficient with Microsoft Office products, particularly Word, PowerPoint and Excel
-General interest in politics
-A basic knowledge of statistics
Additional Desired Skills and Experience:
-Foundation in research design and analysis
-Visualizing data for presentations, reports or promotional materials
-Statistical analysis with tools such as R, SPSS, or Python
-Familiarity with databases and large data structures
-Experience with predictive modeling, machine learning, and/or clustering and classification techniques