Data Insights Specialist

hace 6 días

Madrid, Madrid, España Gartner Careers A tiempo completo

About this role:

The Data Specialist will be part of a global Primary Research & Insights Ops team, addressing common, cutting-edge management challenges faced by senior functional executives at leading, global organizations.

Key Responsibilities:

  • Partner with internal stakeholders to understand the research objectives and hypothesis; and provide data-related support on the same.
  • Assist in the creation of primary data collection instruments (surveys, web data, etc.), questionnaires, study scope, sampling methodologies, and analytical techniques to test hypotheses and calibrate data models.
  • Employ analytical tools to analyze survey data, and correlation between survey responses and client engagement in a meaningful way to result in actionable insights.
  • Assist with large-scale data collection efforts through administration of data through the process and managing the quality of the same.
  • Tell the primary research data story through analysis, interpretation, and data visualization that clearly conveys key takeaways using PowerPoint or other data visualization tools.
  • Support insightful graphics, user-friendly data tables and simple dashboards to communicate findings.
  • Present analytical insights and research findings through benchmark, member summary reports and other standardized reports to clients and internal research teams.
  • Explore and implement new tools and features to improve quality of deliverables and efficiency in the process.
  • Work with and support team members to assist in maintaining quality of the data and deliverables based on the same by managing through a robust quality check process.
  • Manage aspects of Data operations through ETL, data modeling and data automation activities.

Requirements:

  • 0 - 2 years of Market Research industry experience working with one or various data applications such as SPSS, Q, SAS, etc.
  • Understanding and proficiency on data tables, graphs and charting techniques.
  • Good understanding of data & statistical techniques, analytical mindset and ability to learn new tools and techniques quickly.
  • Experience on business analytic and visualization tools such as Power BI, QlikView, Tableau, etc. would be a plus.
  • Knowledge and experience of programming languages such as Python or R.
  • Familiarity with survey programming and programming languages such as JavaScript, jQuery, HTML and CSS would be an added advantage.

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