Senior Data Analyst ExecutivefreeC's Client

Use statistical methods, data modeling, and analytical techniques to interpret datasets and uncover trends.
Contribute to sales planning and forecasting through the evaluation of historical data.
Collect, validate, clean, and structure data into standardized datasets for analysis.
Create reports, dashboards, and visualizations that clearly present insights to stakeholders.
Work closely with ERP and Operations teams to understand business rules, gather information from diverse sources, ensure data integrity, and design effective data collection processes.

REQUIREMENTS

Strong analytical and problem- solving abilities with expertise in interpreting complex datasets.
Education: Bachelor’s degree in Data Science, Economics, Statistics, or Finance.
Solid background in developing and applying accurate algorithms to derive business solutions.
Strong grasp of business fundamentals and the ability to leverage data to address organizational challenges.
Skilled in using data analysis tools, programming languages, and visualization software.
Experience: At least 5 years of experience in data analytics or a related field.
Excellent technical and logical capabilities in data modeling, data mining, and segmentation.
Technical Skills: Strong proficiency in SQL, Power Query, Power BI, DAX Studio, and advanced Microsoft Excel. Hands- on experience with Azure Analysis Services, Python/R, and BigQuery is a plus.
Effective communication and presentation skills, with the ability to translate technical insights into actionable business recommendations for both technical and non- technical audiences.

Year- end bonus based on individual and company performance.
Annual leave consists of 12 days, plus an additional day after 3 years of service.
Engagement and team- building activities.
Full salary during the probation period.
Annual health check- up.
Lunch allowance provided.

Cập nhật gần nhất lúc: 2025-08-21 03:45:03