Data Analyst

WE ARE HIRING: DATA ANALYST
INDUSTRY: INSURANCE COMPANY
KUNINGAN, JAKARTA SELATAN

Jobdesc :

• Analyze and inventory existing Dataiku projects, workflows, datasets, and dependencies.

• Document business logic, data flows, transformation rules, and technical specifications of existing solutions.

• Assess migration complexity, identify risks, dependencies, and remediation plans.

• Refactor and translate Dataiku low-code workflows into maintainable code-based solutions (e.g., SQL, Python, or other relevant technologies) aligned with future Cloud Data Lake standards.

• Develop migration-ready assets, documentation, and technical guidelines to accelerate project transition once the Cloud Data Lake environment becomes available.

• Collaborate with Data Engineers, Solution Architects, and Business Users to ensure migration requirements are well understood and properly implemented.

• Perform testing, validation, and reconciliation to ensure data accuracy, consistency, and completeness during migration preparation activities.

• Support migration execution, troubleshooting, and post-migration validation activities when the Data Lake platform goes live.

• Support BAU data extraction, transformation, validation, and reporting activities.

• Analyze business requirements and translate them into data solutions and analytical outputs.

• Develop and maintain datasets, dashboards, reports, and analytical models to support business decision-making.

• Conduct data quality assessments and identify opportunities for process improvement and optimization.

• Provide analytical support for ongoing and upcoming data-related projects and initiatives.

• Support the business objectives by transform data to insight in timely manner

• Focus on quality and solution

• Support the team to build the automation of report or process

Qualifications :

• Bachelor's Degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Data Science, or related disciplines

• Minimum 3 years of experience in Data Analytics, Business Intelligence, Data Engineering, or related fields.

• Experience working with Dataiku, ETL tools, data pipeline development, or analytics platforms.

• Experience in data migration, system transformation, or cloud data platform initiatives is an advantage.

• Experience in banking, financial services, telecommunications, or other data-intensive industries is preferred.

• Strong SQL skills for data extraction, transformation, and analysis.

• Proficiency in Python or similar programming languages for data processing and automation.

• Understanding of ETL/ELT concepts, data modeling, and data warehousing principles.

• Familiarity with Dataiku and low-code analytics platforms.

• Basic understanding of Cloud Data Lake architecture and modern data platforms.

• Experience with reporting and visualization tools such as Power BI, Tableau, or similar tools.

• Knowledge of data quality management and data validation techniques.

Benefit :

• UMP JKT up to 10 mio

• Meal Allowance

• Transportation Allowance

• BPJS

• Insurance Card

• Cellphone Allowance

• Amenities etc