Digital Research Analyst

• Tip: Full time
• Nivel: Middle
• Experiență: Intre 2 - 5 ani

• Departament: MARKETING
• Locație: București

We are seeking a highly skilled and detail-oriented Digital Research Analyst to join our research & development team. The selected candidate will play a crucial role in leveraging data from various sources, including brand tracking, qualitative research, and backend platform data, to drive strategic decisions and enhance our platform's performance.

What you should do:

• Gather and integrate data from multiple sources such as brand tracking studies, conjoint analysis, qualitative research, customer-database and available sources.
• Ensure data accuracy, completeness, and consistency across all data sources.
• Develop and maintain data pipelines for seamless data flow and integration.
• Conduct comprehensive data analysis to identify trends, patterns, and insights that inform business decisions.
• Utilize statistical methods and data mining techniques to analyze large datasets.
• Provide actionable insights and recommendations to improve user engagement, content performance, and overall platform efficiency.
• Create detailed and visually appealing reports, dashboards, and presentations to communicate findings to stakeholders.
• Use data visualization tools such as Excel, Powerpoint, Power BI, LookerStudio or similar to present data in a clear and understandable manner.
• Monitor key performance indicators (KPIs) related to user behavior, content consumption, and platform functionality.
• Identify and report on significant changes or anomalies in KPIs, providing insights into potential causes and implications.
• Identify opportunities for optimizing the user experience and increasing subscriber retention based on data insights.

What we want you to know:

• Bachelor's degree in Data Science, Statistics, Marketing, Business, or a related field. A Master's degree is preferred.
• 3+ years of experience in data analysis, preferably within the digital media or entertainment industry.
• Proficiency in data analysis tools and software such as SQL and advanced Excel.
• Experience with data visualization tools such as Power BI, or similar.
• Familiarity with statistical analysis techniques and tools.
• Ability to generate actionable insights and recommendations from data analysis.
• High attention to detail and accuracy in data analysis and reporting.
• Strong interpersonal skills and the ability to build relationships with cross-functional teams.

Sure you are interested

How we work: Hybrid

What we offer: Medical allowance, holiday vouchers, various employee discounts, office fruit, office massage, employee assistance program.