Business Data Analyst
hace 2 semanas
We are seeking a highly skilled Business Data Analyst to join our team at Sin Nombre. As a key member of our organization, you will be responsible for driving data-based performance and culture, maximizing the use of existing information and data, and supporting the Meeting Place Team in day-to-day navigation through available data, analytics, and business insights.
Key Responsibilities- Drive data-based Meeting Place performance and culture, maximizing the use of existing information and data.
- Support the Meeting Place Team in day-to-day navigation through available data, analytics, and business insights.
- Provide relevant, user-friendly business information, securing competence in Meeting Places to allow for analysis and understanding of performance and support optimal decision-making.
- Define and analyze customer insights using existing and developing new surveys.
- Perform data analysis to identify trends, present it in an understandable and actionable manner, and assist the Meeting Place Management Team in identifying opportunities and potential risks to develop action plans.
- Conduct multidimensional data analysis based on commercial and financial data (including visitation, sales, conversion trends, income, costs interdependency) to ensure a clear understanding of current MP performance status and support action plan development.
- Jointly analyze store visitation/conversion trends and their interdependency with MP activities to create a basis for actions aimed at driving visitation to IKEA.
- Support the Meeting Place Manager with local budget coordination and follow-up.
- Assist the Meeting Place Manager in local budget scenario planning to analyze risks and possibilities of MP performance, considering local market trends, providing a basis for action planning for the MP management team.
- Support the Meeting Place Manager on business case-related data analyses.
- Assist in the development and tracking of KPIs for Marketing and Community campaigns.
- Minimum 3 years' experience in data analysis, developing metrics and projections based on analysis results.
- Proven track record in delivering under time pressure.
- Computer/smart device literate, tech-savvy.
- Fluent in English, both written and spoken.
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