Big Data Analyst Jobs
Data Analyst - Central Data Platform
By Gojek
At Jakarta, Indonesia
Mdp Data Analyst Jobs
By PT Bussan Auto Finance
At Jakarta Raya, Indonesia
Data Analyst Jobs
By realme Indonesia
At Denpasar, Indonesia
Data Analyst Supervisor Jobs
By MAKUKU
At Jakarta Raya, Indonesia
Data Analyst Jobs
By SoftwareSeni Indonesia
At Daerah Istimewa Yogyakarta, Indonesia
Data Analyst Jobs
By Tamtech International
At Sleman, Indonesia
Data Analyst - Subscription
By Gojek
At Jakarta, Indonesia
Data Analyst Jobs
By PT Sisindokom Lintasbuana
At Pekanbaru, Indonesia
Data Analyst Jobs
By OLRANGE
At Duri Selatan, Indonesia
Data Analyst Jobs
By Semanggi Holding Group
At Surabaya dan Sekitarnya, Indonesia
Data Analyst Jobs
By PT Wahana Ottomitra Multiartha (WOM Finance)
At Duri Utara, Indonesia
Data Analyst Jobs
By PT Pustaka Insan Madani
At Yogyakarta, Indonesia
Data Analyst Jobs
By SANLOG
At Karawang, Indonesia
Data Analyst Jobs
By Vokraf
At Kebayoran Baru, Indonesia
Data Analyst Jobs
By Waste4Change
At Kota Bekasi, Indonesia
Data Analyst Jobs
By JALA
At Kabupaten Sleman, Indonesia
(Senior) Devops Big Data & Analytics (M/W/D) In Teilzeit
By PENNY International (REWE Group)
At Pekalongan, Indonesia
Iot & Big Data Api Product
By PT. XL Axiata Tbk
At Jakarta Raya, Indonesia
Data Analyst - Food
By Gojek
At Jakarta, Indonesia
Data Analyst Jobs
By Remote
At Pontianak, Indonesia
Are you looking for an exciting opportunity to work with large datasets and uncover valuable insights? We are looking for a Big Data Analyst to join our team and help us make data-driven decisions. You will be responsible for analyzing large datasets, developing predictive models, and creating visualizations to help us better understand our data. If you have a passion for data and a desire to make an impact, this is the job for you!
Overview A Big Data Analyst is a professional who is responsible for analyzing large amounts of data to identify trends, patterns, and correlations. They use their findings to help organizations make better decisions and improve their operations. Big Data Analysts are also responsible for developing and implementing data-driven solutions to solve complex business problems. Detailed Job Description A Big Data Analyst is responsible for collecting, analyzing, and interpreting large amounts of data from multiple sources. They use various tools and techniques to identify trends, patterns, and correlations in the data. They also develop and implement data-driven solutions to solve complex business problems. Additionally, they are responsible for creating reports and visualizations to present their findings to stakeholders. Job Skills Required• Knowledge of data analysis techniques and tools
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Ability to interpret and analyze large datasets
• Excellent problem-solving and critical thinking skills
• Ability to communicate complex data in an easy-to-understand manner
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with data analysis and data mining
• Knowledge of machine learning algorithms
• Experience with data visualization tools
• Ability to work independently and in a team environment
Job Knowledge
• Knowledge of data analysis techniques and tools
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of machine learning algorithms
• Knowledge of programming languages such as Python, R, and SQL
Job Experience
• Experience with data analysis and data mining
• Experience with data visualization tools
• Experience with programming languages such as Python, R, and SQL
• Experience with machine learning algorithms
Job Responsibilities
• Collect, analyze, and interpret large amounts of data from multiple sources
• Identify trends, patterns, and correlations in the data
• Develop and implement data-driven solutions to solve complex business problems
• Create reports and visualizations to present findings to stakeholders
• Monitor data quality and accuracy
• Collaborate with other departments to ensure data accuracy and integrity
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