Job Responsibility
Data Analysis:
– Analyze large datasets to identify trends, patterns, and correlations that provide insights into business performance.
– Perform statistical analysis and generate reports to support data-driven decision-making.
Data Visualization:
– Create clear and compelling data visualizations using tools such as Tableau, Power BI, or similar to communicate findings to stakeholders.
– Develop dashboards and interactive reports that provide real-time insights.
Reporting and Documentation:
– Generate regular reports and present findings to business stakeholders, ensuring clarity and relevance to business objectives.
– Document analytical processes and methodologies to ensure reproducibility and consistency.
Collaboration and Support:
– Work closely with data scientists, AI engineers, and business stakeholders to understand data needs and provide technical support.
– Facilitate effective communication and collaboration between the AI and data teams and other departments.
Data Quality and Management:
– Ensure the accuracy, integrity, and consistency of data by performing regular data validation and cleansing.
– Develop and implement data management processes to support high-quality data analytics.
Continuous Improvement:
– Identify areas for improvement in data analysis processes and methodologies.
– Stay updated with the latest industry trends and technologies related to data analytics and visualization
Skills and Experience
Education:
– Bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field.
Experience:
– Minimum of 2-4 years of experience in data analytics, business intelligence, or a similar role.
– Proven experience in analyzing large datasets and generating actionable insights.
– Strong background in using data visualization tools (e.g., Tableau, Power BI).
Skills:
– Proficiency in data analysis and statistical tools (e.g., Excel, Google Sheet, Python).
– Strong knowledge of databases and SQL for data querying and manipulation.
– Excellent analytical and problem-solving skills with attention to detail.
– Strong communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.
Preferred Qualifications:
– Understanding of data engineering and MLOps methodologies.
– Awareness of security best practices in data environments.
– Experience working with organizations that have a large customer base, such as banks and e-commerce companies.
Salary:
$2,000 – $3,500, depending on the candidate’s skills and experience.
Allowances:
- Onboarding allowance, meal allowance, and transportation allowance.
- Flight ticket to return home every six months.
Benefits:
- Provided with necessary equipment and office supplies to support work.
- Annual salary review and extensive promotion opportunities across all positions.
- Participation in company activities such as holiday celebrations, monthly events, running clubs, team building, year-end parties, and annual company trips.
- Bonuses for holidays and special occasions, quarterly and annual outstanding employee awards, project bonuses, and a 13th-month salary++ bonus.
- Commitment to employee competency development through professional training programs.
- Days off: 7 days off per month, flexible scheduling.