Kerja Sepenuh Masa, Data Scientist - Data Analyst di CITHY - CAP EMPLOI 89 - Maukerja

The Data Scientist / Data Analyst is responsible for collecting, processing, analyzing, and interpreting data to generate valuable insights that support business strategy and decision-making. This role combines analytical expertise, statistical techniques, and data visualization skills to help organizations identify trends, solve problems, and improve performance.

The position involves gathering data from multiple sources, cleaning and validating datasets, and ensuring data accuracy and integrity. The Data Scientist / Data Analyst works closely with stakeholders to understand business objectives and transform complex data into meaningful insights.

A key responsibility includes conducting exploratory data analysis, statistical modeling, and predictive analytics to uncover patterns, trends, and opportunities. The role develops reports, dashboards, and visualizations that help stakeholders understand key business metrics and make informed decisions.

The Data Scientist / Data Analyst also supports forecasting, business intelligence, and performance measurement initiatives. This includes analyzing customer behavior, operational performance, financial metrics, and market trends to provide actionable recommendations.

In addition, the role may develop machine learning models, automate reporting processes, and create analytical frameworks that improve efficiency and support long-term business objectives. The position ensures analytical solutions are accurate, scalable, and aligned with organizational goals.

The role collaborates with cross-functional teams including operations, finance, marketing, technology, and leadership to deliver data-driven solutions. Strong problem-solving abilities and attention to detail are essential for success.

The Data Scientist / Data Analyst plays a critical role in helping organizations leverage data as a strategic asset, enabling smarter decisions, operational improvements, and sustainable business growth.

• Strong analytical, statistical, and problem-solving skills.
• Proficiency in Python, R, SQL, or similar data analysis tools.
• Experience with data visualization platforms such as Tableau, Power BI, or similar.
• Strong understanding of statistics, probability, and data modeling.
• Ability to clean, process, and analyze large datasets.
• Knowledge of machine learning concepts and predictive analytics is an advantage.
• Strong critical-thinking and analytical reasoning abilities.
• Ability to identify trends, patterns, and actionable business insights.
• Experience with databases, data warehousing, and SQL queries.
• Excellent written and verbal communication skills.
• Ability to present technical findings to non-technical stakeholders.
• High attention to detail and commitment to data accuracy.
• Strong organizational and project management skills.
• Ability to work effectively with cross-functional teams.
• Commitment to data-driven decision-making and continuous improvement.