Senior Data Analyst/ Business Intelligence Executive (Fin. Dept.)

- Collaborate with the ERP and Operations teams to understand business rules, gather data from multiple sources, ensure data quality, and develop efficient data collection systems.

- Apply statistical analysis, data modeling, and other analytical techniques to interpret data and identify trends.

- Develop reports, dashboards, and other visualizations to clearly and effectively communicate insights.

- Collect, validate, clean, and organize data to produce standardized datasets for analysis.

- Support sales planning and forecasting through the analysis of historical data.

- Education: Bachelor’s Degree in Data Science/ Economics/ Statistics/ Finance

- Experience: 5+ years of data analytics or other relevant experience

- Proficient in data analysis tools, programming languages, and data visualization software.

- Strong analytical and problem-solving skills, with the ability to interpret complex datasets.

- Excellent logical and technical capabilities in data modeling, data mining, and segmentation.

- Solid knowledge in developing and applying accurate algorithms to datasets to derive solutions.

- Strong understanding of business principles and the ability to leverage data analysis to address business challenges.

- Good communication and presentation skills, capable of conveying insights effectively to both technical and non - technical audiences.

- Computer skills: Strong proficiency in SQL, Power Query, Power BI, DAX Studio, and MS. Excel (Advanced Level). Practical experience with Azure Analysis Services, Python/R and BigQuery is a plus.