Data Analyst (Banking)

Penuh waktu

PT Rajawali Anugrah Resources

JOB DESCRIPTION

• Data Collection and Analysis: Gather, clean, and analyze large sets of data from various banking systems and data warehouses.
• ETL Processes: Design, develop, and maintain ETL processes to ensure data is accurately extracted, transformed, and loaded into the data warehouse.
• Data Warehousing: Utilize data warehousing technologies to store, organize, and manage data efficiently.
• Cloudera: Leverage Cloudera for data processing, storage, and advanced analytics.
• Reporting and Visualization: Create and maintain dashboards, reports, and visualizations to present data insights to stakeholders.
• Collaboration: Work closely with IT, business units, and other stakeholders to understand data requirements and deliver solutions.
• Data Governance: Ensure data integrity, accuracy, and security by adhering to data governance policies.
• Continuous Improvement: Identify opportunities for process improvements and implement best practices in data management and analysis. JOB REQUIREMENT

• Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field. Master’s degree preferred.
• Experience: Minimum of 3-5 years of experience in data analysis, preferably in the banking or financial services industry.
• Technical Skills:
• Proficiency in Cloudera and its ecosystem (Hadoop, HDFS, Hive, Impala, etc.).
• Strong experience with data warehousing concepts and tools.
• Expertise in ETL tools and processes.
• Proficiency in SQL and other database querying languages.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Familiarity with programming languages such as Python, R, or Scala is a plus.
• Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.
• Communication Skills: Excellent written and verbal communication skills with the ability to explain complex data insights to non-technical stakeholders.
• Team Player: Ability to work effectively in a team environment and collaborate with cross-functional teams.

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