Middle Data Analyst

Responsibilities:

Work directly with internal and external clients to gather, analyze, and clarify business requirements; translate them into data requirements and appropriate analytical solutions.
Collaborate with project teams to align requirements and deliver Data Analytics & Business Intelligence solutions.
Analyze business problems, identify relevant data sources, and recommend appropriate analytical approaches.
Perform data extraction, preparation, cleaning, transformation, modeling, analysis, and visualization.
Analyze data to generate meaningful insights and data-driven recommendations to support business decision-making.
Build dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, Apache Superset, or equivalent.
Present analytical findings, insights, and recommendations to clients and relevant stakeholders.
Collaborate with Data Engineers, BAs, PMs, QAs, and other stakeholders throughout project delivery.
Manage assigned tasks and deliverables, ensuring project timelines and quality standards are met.
Prepare documentation, templates, and contribute to standardizing data analysis practices.
Stay updated on new technologies, tools, and data analytics methodologies; actively participate in team knowledge-sharing activities.

3+ years of experience in Data Analytics, Business Intelligence, or a related field.
Proficiency in SQL and Python, with hands-on experience working with relational databases.
Proficiency in Power BI, Tableau, Apache Superset, or equivalent data visualization tools, with experience building dashboards and management reports.
Ability to analyze business requirements and translate them into data requirements and appropriate analytical solutions.
Hands-on experience across the Data Analytics/BI process, from data preparation and analysis to visualization.
Strong analytical and problem-solving skills, with a good understanding of statistics and data analysis methodologies; ability to generate meaningful insights and recommendations.
Good communication and presentation skills, with the ability to apply Data Storytelling and communicate effectively with both technical and non-technical stakeholders.
Ability to work independently and collaborate effectively in cross-functional project teams.
Proactive, detail-oriented, responsible, and results-driven.

Preffered:

Experience working with Big Data platforms or large-scale data ecosystems.
Basic knowledge of Data Modeling and Data Architecture.
Experience working directly with clients or participating in data solution consulting activities.

Compensation: Open for negotiation based on qualifications and experience + project-based bonuses.
13th-month salary. Bonuses for 4 major holidays: Reunification Day (April 30), National Day (September 2), Lunar New Year, and New Year.
Annual company trips, retreats, and regular team-building activities.
Opportunities to participate in company events and internal cultural activities.
Full participation in Social Insurance and Health Insurance in accordance with Vietnamese regulations.
BSH health insurance package covering medical examination and treatment expenses.
Annual health check-ups and employee welfare programs, including birthday, wedding/funeral support, and other employee care activities.
Open, young, and dynamic working environment that values ownership and accountability.
Encouragement to propose solutions with no limitation on technology choices.
Opportunities to participate in technical and business seminars, AI application sessions, and technology-sharing activities.
Exposure to diverse domains, challenging business problems, and large-scale projects and systems in both domestic and international markets.
Clear career development path with opportunities to progress to Senior Data Analyst, Lead Data Analyst and Data Analytics Manager.