Eram Talent is currently seeking a skilled BI Analyst to join our team in Saudi Arabia. As a leading Talent Acquisition Consultancy, we are committed to providing exceptional staffing solutions for our clients. In this role, you will be responsible for collecting and analyzing data to generate insights and provide actionable recommendations that drive business performance.
Responsibilities
- Collect and analyze data from various sources to identify trends, patterns, and correlations.
- Create and maintain financial dashboards for a variety of activities including revenue metrics, capital project progress, and entity-wide strategic goals.
- Analyze and prepare performances of the boutiques, margin, OTB by brand, SO,
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Develop and implement data collection methods and strategies to improve data quality and efficiency.
- Provide information support for BI system users, including the use and assignment of various dashboards/reports/KPIs.
- Stay up-to-date with the latest trends and best practices in business intelligence and analytics.
- Improve skills through experience, trainings, studying manuals, perform online tutorials, etc. for new technologies and ideas related to data mining, manipulation and presentation.
Requirements
- Bachelor's degree in a relevant field such as business analytics, data science, or a related discipline.
- Experience in creating dashboards/reports for web analytics from various sources
- Knowledge of subject areas (e.g. retail, purchasing, logistics, marketing, finance, etc.)
- 3 years of experience as a BI analyst in retail.
- Excellent knowledge of SQL and experience with relational databases (Oracle, SQL Server, etc.).
- Experience in developing reports using Microsoft Power BI (including Power Query, DAX).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience working with cross-functional teams and stakeholders.
- Knowledge of statistical analysis techniques and data mining.
•
Last updated on Jun 25, 2024