Requirement:

• Bachelor's Degree in Computer Science, Information Technology, Information Systems or related field

• At least 1-2 years of experiences in Data Science or Data Analyst

• Strong knowledge of python.

• Familiarity with statistical techniques and tools for hypothesis testing, regression, and other data modeling approaches.

• Experience with data visualization tools like Tableau, Power BI, Looker, matplotlib.

• Advanced Excel skills for data cleaning, analysis, and reporting.

• Understanding of database systems (e.g., MongoDB) and data warehousing concepts.

Description:

• Gather data from various sources including databases, APIs, spreadsheets, and more. Clean and transform the data to ensure its quality and compatibility.

• Perform exploratory data analysis to understand patterns, trends, and anomalies in the data. Apply statistical models and do data visualization to extract insights.

• Create and maintain dashboards, reports, and visualizations to present data-driven insights to stakeholders.

• Identify and address data quality issues, missing values, and outliers.

• Design and conduct experiments to test hypotheses and evaluate the impact of changes or interventions.

• Build and deploy predictive models to answer business questions and solve problems.

• Work closely with cross-functional teams to understand business requirements and provide data-driven recommendations. Effectively communicate findings to both technical and non-technical stakeholders.

Note: Dicoding alumnus are welcome to apply