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JRITData Analyst Supervisor
Job in
Town of Italy, Penn Yan, Yates County, New York, 14527, USA
Listed on 2026-01-01
Listing for:
PT Passion Abadi Korpora
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: Town of Italy
About the job JRIT
0508 Data Analyst Supervisor
Position: Data Analyst Supervisor
Location: Alam Sutera, Tangerang
Work Setup: On-Site
Industry: Retail & Manufacturing
Are You Passionate About Turning Data Into Actionable Insights?
Were looking for a highly analytical and detail-driven Data Analyst Supervisor who loves diving into data, building visual stories, and improving data reliability. If you have a strong command of analytical tools and enjoy finding clarity in complexity, this role is a great next step in your career.
- Analyze and organize raw data from multiple sources.
- Deep-dive into datasets to identify quality and coverage issues.
- Develop and maintain data pipelines and transformation processes.
- Create dashboards and visualizations using Power BI
, Excel
, and other tools. - Present insights clearly through data storytelling and visualization techniques.
- Recommend improvements to ensure data accuracy, validity, and reliability.
- Collaborate with cross-functional teams to fulfill business data needs.
- Carry out all policies, directions, and instructions established by leadership.
- Bachelors degree in Computer Science
, Information Technology
, Science & Technology
, or related fields. - 1+ years of experience in data analysis or a related role.
- Proficient in MySQL
, Python
, Power BI
, and Excel
. - Strong numerical thinking and attention to detail.
- Excellent problem-solving skills with the ability to work independently or in a team.
- Strong communication and data storytelling skills.
Why Join Us?
- Be part of a growing team that values data-driven decision-making.
- Lead meaningful analysis that impacts real business outcomes.
- Work in a collaborative environment that supports learning and development.
- Gain hands-on experience with modern analytics tools and data systems.
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