Junior Data Analyst (Good English Communication)

Participate in the implementation of data- driven solutions and monitor their performance.
Identify opportunities to optimize data analysis processes and enhance data quality.
Stay up- to- date with the latest data analysis tools, techniques, and industry trends.
Participate in cross- functional projects and contribute to the overall data strategy.
Provide guidance and mentorship to junior data analysts or team members.
Develop data visualizations and dashboards to communicate findings effectively.
Communicate effectively with both technical and non- technical audiences.
Collaborate with IT and data engineering teams to improve data infrastructure and systems.
Clean, organize, and transform raw data into a format suitable for analysis.
Perform exploratory data analysis to identify patterns, trends, and insights.
Present analysis results and insights to stakeholders, including executives and cross- functional teams.
Identify, gather, and extract relevant data from various sources (databases, spreadsheets, external data providers, etc.).
Assist in developing and maintaining data pipelines and ETL (Extract, Transform, Load) processes.
Apply statistical methods and data mining techniques to analyze and interpret data.
Contribute to the development and implementation of data governance policies and standards.

Knowledge of statistical analysis methods, predictive modeling, and machine learning.
Good english communication
Proficiency in data analysis tools and programming languages such as SQL, Python, R, Excel, Tableau, Power BI, etc.
Experience in data mining, data cleaning, and data transformation techniques.
Understanding of data visualization best practices.
Familiarity with database management systems and data warehousing concepts.
Level: Junior+

Analytical and Problem- Solving Skills:

Strong critical thinking and problem- solving skills to derive insights from data.
Creativity in designing and implementing data analysis solutions.
Ability to ask the right questions and define the problem statement.
Attention to detail and accuracy in data analysis.

Communication and Collaboration Skills:

Excellent written and verbal communication skills to present findings to technical and non- technical stakeholders.
Business acumen to understand the context and implications of the data analysis.
Ability to translate complex data into actionable insights and recommendations.
Teamwork and collaboration skills to work effectively with cross- functional teams.

Other Requirements:

Familiarity with industry- specific tools, software, and data sources.
Strong project management and time management skills.
Continuous learning and willingness to stay up- to- date with emerging data analysis trends and technologies.
Experience in a particular domain or industry (e.g., finance, healthcare, retail).

Professional work environment:
Flexible working time and remote work policy
Friendly and open working environment; work with international team members, partners,...
Team- building activities: 1- 2 company trips/year, not counted on working days
Career development opportunities:
Reward/recognition: Tech challenge of the year / Project of the year / Member of the year (and more)
Certification support with a minimum of 50% of learning + certification fee for employees
Compensations:
Competitive & attractive salary with bonus (Reference bonus, End year bonus)
Tea- break
Checkpoint every 6 months
Working time: 8h30- 18h Monday to Friday

Cập nhật gần nhất lúc: 2024-06-16 14:50:03