Data Analyst

We are looking for a skilled Data Analyst to join our Data team. This role is responsible for managing both ongoing & ad-hoc data requests and ensuring data accuracy & availability for decision-making. The ideal candidate will have strong SQL skills, experience with Power BI, and the ability to work collaboratively with cross-functional teams, including Sales, Merchant, Marketing, Product, Product Development, and Data Engineering.

• Handle ongoing and ad-hoc data requests using SQL to extract, process, and analyze large datasets from various sources.
• Design, build, and maintain dashboards and reports using Power BI to support business decision-making.
• Provide insights and recommendations to internal stakeholders based on data analysis, ensuring reports are actionable and aligned with business goals.
• Validate data accuracy, identify discrepancies, and propose solutions for data improvement.
• Work closely with Product Development and Data Engineering teams to discuss data-related requirements, troubleshoot issues, and improve data availability.
• Continuously optimize data processes and reporting frameworks to enhance efficiency and scalability.

• Education: Bachelor's degree required; preference for candidates with a degree in Data Science, Business Analytics, or Statistics.
• Experience: At least 2+ years of experience in a data analyst or similar role.
• Technical Skills:

+ Strong proficiency in SQL for data extraction and transformation.

+ Hands-on experience with Power BI (or similar BI tools) to create dashboards and reports.

+ Knowledge of data modeling, ETL processes, and data warehousing concepts is a plus.

+ Familiarity with Python or R for data analysis is an advantage.

• Soft Skills:

+ Strong analytical and problem-solving skills with attention to detail.

+ Ability to communicate insights effectively to non-technical stakeholders.

+ A proactive, self-driven attitude with the ability to manage multiple tasks efficiently.

+ Team player with a collaborative mindset and a willingness to learn.

• Bonus Points

+ Experience with machine learning and data science workflows.

+ Experience with data governance and data security frameworks.

+ Experience with DevOps principles and practices.

+ Experience building data platforms for similar industries.

• Working time from Monday to Friday (09:00 am - 18:00 pm).
• Good chance to study and develop career path stably with internal promotion and rotation.
• 100% statutory insurance contribution as per the labor law.
• Bao Viet Healthcare insurance.
• 100% gross salary in probation.
• 12 Annual Leave (AL) per year + extra 1 AL per extra working year.
• Annual bonus: depending on business & individual performance.
• Annual salary review.
• Other rewards: 5-star, employee of the month (EOTM), employee of the year (EOTY), loyalty employee (3-year, 5-year, 8-year, etc.)
• Internal Activities: General Meeting, Company Trip, International Women's Day, Vietnamese Women's Day Mid-Autumn Festival, Family Day, Christmas, Year-end Party, etc.