Data Operations Analyst

Description

Job Summary: Twins Data Pratama is seeking a Data Operations Analyst to manage, improve, and analyze data, generating reports for decision-making. Key Highlights: 1. Technology-oriented environment focused on professional development 2. Participation in data and digital transformation projects 3. Continuous training and learning opportunities Job Description Twins Data Pratama is seeking a **Data Operations Analyst** to support the management, quality, and analysis of data used in business operations. The candidate will collaborate with internal teams to maintain reliable information, improve data processes, and generate useful reports for decision-making. Key Responsibilities * Monitor data loading, updating, and validation processes. * Review data quality, consistency, and completeness. * Analyze operational data and identify trends or inconsistencies. * Prepare reports, dashboards, and analyses for various departments. * Support automation and optimization of data workflows. * Coordinate with technology, operations, and business teams to resolve incidents. * Document data-related processes, controls, and procedures. * Track KPIs and operational metrics. * Identify opportunities to improve data process efficiency. * Support implementation and enhancement projects for information platforms. Requirements * Bachelor's degree in Computer Engineering, Industrial Civil Engineering, Statistics, Data Analytics, Economics, or a related field. * Experience in data analysis, data operations, business intelligence, or related areas. * Advanced Excel skills and data visualization tools. * Proficiency in SQL and databases. * Experience with Power BI, Tableau, Looker, or other BI tools is desirable. * Familiarity with ETL processes, data quality, and automation is a plus. * Strong analytical, organizational, and problem-solving skills. * Ability to work effectively within multidisciplinary teams. * Intermediate English proficiency is desirable. Why Join Us * Competitive salary commensurate with experience. * Performance-based bonus and goal-achievement incentives. * Technology-oriented environment focused on professional development. * Participation in data and digital transformation projects. * Continuous training and learning opportunities. * Hybrid work model, based on job requirements. * Opportunities for career growth within the organization. Salary: $479\.638 \- $1\.811\.944 per month Work Location: On-site employment