Key Responsibilities
- Data Analysis & Reporting: Analyze large complex datasets (e.g. inventory turnover sales forecasts customer behavior) to identify trends patterns and areas for operational improvement.
- Data Visualization: Build maintain and update interactive dashboards and reports using tools like Tableau or Power BI to provide real-time insights to stakeholders.
- Data Cleaning & Management: Gather data from various sources (SQL databases ERP systems spreadsheets) cleaning and validating it to ensure high data quality and accuracy.
- Supply Chain/Operations Support: Monitor key performance indicators (KPIs) related to logistics inventory levels and order fulfillment to enhance efficiency.
- Cross-Functional Collaboration: Collaborate with IT marketing and operations teams to define business needs and translate them into analytical solutions.
- Actionable Insights: Translate technical findings into plain non-technical language to help executives make data-driven decisions.
Required Skills & Qualifications
- Education: Bachelors degree in Data Science Statistics Mathematics Computer Science Economics or a related field.
- Technical Proficiency:
- SQL: Essential for querying databases and extracting data.
- Excel: Advanced knowledge of formulas macros and pivot tables.
- Visualization Tools: Hands-on experience with Power BI Tableau or similar tools.
- Programming (Plus): Experience with Python or R for data analysis is highly desirable.
- Analytical Skills: Strong ability to analyze model and interpret complex data sets with attention to detail.
Key Responsibilities Data Analysis & Reporting: Analyze large complex datasets (e.g. inventory turnover sales forecasts customer behavior) to identify trends patterns and areas for operational improvement. Data Visualization: Build maintain and update interactive dashboards and reports using tool...
Key Responsibilities
- Data Analysis & Reporting: Analyze large complex datasets (e.g. inventory turnover sales forecasts customer behavior) to identify trends patterns and areas for operational improvement.
- Data Visualization: Build maintain and update interactive dashboards and reports using tools like Tableau or Power BI to provide real-time insights to stakeholders.
- Data Cleaning & Management: Gather data from various sources (SQL databases ERP systems spreadsheets) cleaning and validating it to ensure high data quality and accuracy.
- Supply Chain/Operations Support: Monitor key performance indicators (KPIs) related to logistics inventory levels and order fulfillment to enhance efficiency.
- Cross-Functional Collaboration: Collaborate with IT marketing and operations teams to define business needs and translate them into analytical solutions.
- Actionable Insights: Translate technical findings into plain non-technical language to help executives make data-driven decisions.
Required Skills & Qualifications
- Education: Bachelors degree in Data Science Statistics Mathematics Computer Science Economics or a related field.
- Technical Proficiency:
- SQL: Essential for querying databases and extracting data.
- Excel: Advanced knowledge of formulas macros and pivot tables.
- Visualization Tools: Hands-on experience with Power BI Tableau or similar tools.
- Programming (Plus): Experience with Python or R for data analysis is highly desirable.
- Analytical Skills: Strong ability to analyze model and interpret complex data sets with attention to detail.
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