Job description for Data Quality at PT Sigma Global Teknologi
PT Sigma Global Teknologi, known as SIGMATECH, is a leading enterprise technology partner specializing in software development with a focus on web, mobile, and desktop solutions. As a trusted provider for mission-critical applications, we serve global clients including insurance companies, government agencies, and large consumer product manufacturers. Our commitment to innovation and excellence drives us to seek talented individuals who can contribute to our continued growth and success. We are currently looking for a Data Analyst and Data Quality professional to join our team in Tanah Abang, Jakarta Pusat, DKI Jakarta, Indonesia. This role offers an exciting opportunity to work on impactful projects and grow within a dynamic and forward-thinking organization.
The Data Analyst and Data Quality professional will be responsible for ensuring the accuracy, consistency, and reliability of data across various business systems. Key responsibilities include analyzing data sets to identify trends and patterns, developing and maintaining data quality standards, collaborating with cross-functional teams to improve data processes, and creating visualizations to support data-driven decision-making. The ideal candidate will also be involved in designing and implementing data validation procedures, troubleshooting data issues, and providing insights that align with business objectives. This role requires a strong analytical mindset and a commitment to maintaining high-quality data throughout the organization.
Candidates must hold a Bachelor's Degree in a relevant field such as Computer Science, Information Technology, Statistics, or a related discipline. A minimum of 3 to 5 years of experience in data analysis or a similar role is required. Proficiency in Data Visualization, Redis, Microsoft Excel, Tableau, SQL, Python, and Microsoft SQL Server is essential, along with a solid understanding of Data Analysis and Statistics. We welcome candidates who are passionate about data and eager to contribute to a collaborative and innovative work environment.
