Robert Half Technology is looking for a REMOTE Data Analyst for a healthcare client. The Data Analyst is responsible for designing and implementing survey programs, collecting data from various sources, and ensuring the quality and accuracy of data for business decision-making. This role involves organizing data, performing statistical analyses, and visualizing data to generate actionable insights.
This is a part-time position; approximately 20 hours a week.
Schedule: Monday-Friday (20 hours a week)
Responsibilities:
- Survey Program Design: Design, program, and implement primary research surveys using software like WinCross (required), Qualtrics (required), and Confirmit.
- Data Collection & Cleaning: Collect data from primary surveys or secondary sources, inspecting and removing errors or irregularities to ensure high-quality data.
- Data Management: Organize data in appropriate formats for analysis, create and maintain databases from survey data, including templates, rating scales, KPIs, research/business metrics, and normative data.
- Data Analysis: Perform data tabulation and apply statistical methods to analyze data, ensuring the results are statistically stable and reliable.
- Data Visualization: Design and develop dashboards and visualizations for reporting and presentation purposes using tools such as Tableau.
- Process Improvement: Streamline and automate data collection, tabulation, and analytical processes to enhance operational efficiency.
- Other Duties: Perform other related duties as assigned.
- Five (5) years’ experience in a research agency or client-side responsible for survey programming, data tabulation, statistical, visualization programs
- Bachelor’s degree in Statistics, Data Science, Market Research, or a related field.
- Experience with survey programming software such as WinCross, Qualtrics, and Confirmit.
- Proficiency in statistical analysis and data visualization tools, including Tableau.
- Strong analytical skills with the ability to interpret complex data sets.
Preferred Qualifications:
- Experience in market research or related field.
- Advanced knowledge of data tabulation, statistical testing, and survey programming.