Job Requirements
Job benefits
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Flexible work hours
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At our company, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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Professional Development
Every employee is an invaluable asset to any team; that's why we want to help you grow. Level up your skills and expertise through our professional co-development programs with notable organizations. We will cover the cost.
Skills
Job description for Data Analyst at KisahTani
- Access to market
- Access to financial services
- Access to technologies and other services
- Set up and maintain key performance reports for management and teams
- Support various departments in performing ad-hoc analysis for tactical purposes
- Champion the importance of data-driven decisions within the organization
- Manage organization's master data, including creation, updates, and deletion
- Commissioning and decommissioning of data sets.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Bachelor’s degree from an accredited university or college in computer science.
- Work experience as a data analyst or in a related field for more than 3 years
- Ability to analyze existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into non-technical, lay terms.
- High-level experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- Understanding of addressing and metadata standards.
- High-level written and verbal communication skills.
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