Junior Data Analyst

PT. Sarimelati Kencana Tbk.; Jakarta Selatan; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading analytics company in Jakarta Selatan is seeking a Data Analyst to pull and analyze data, ensuring data quality and performance of the data platform. The ideal candidate holds a degree in a relevant field, has 1-2 years of analytics experience, and is proficient in SQL. Skills in Google BigQuery and data visualization tools are desirable. This role offers an opportunity to contribute significantly to business strategic planning through data insights.

Qualifications

• 1-2 years of experience in analytics.
• High proficiency in SQL is mandatory.
• Experience with complex ETL and Data Warehouse.

Responsibilities

• Pull data from source into Big Data.
• Ensure data warehouse meets business data needs.
• Monitor and optimize data platform performance.

Skills

SQL

Data visualization tools

Analytical thinking

Problem-solving

Communication skills

Education

Bachelor Degree in Mathematics, Statistics, Information Technology, Information System or similar

Tools

Google BigQuery

Python

Job description

Job Description:

• Pulling data from the data source into Big Data
• Communicate with various functions about their data need and ensure our data warehouse is ready to support them
• Champion data quality dimensions and enforce them to various data stakeholders
• Monitor the capacity and performance of our data platform and tune the performance when anomaly is detected
• Create a data dictionary & Constantly update domain knowledge and skills
• Design and develop transform data into data models suitable for business intelligence and analytics needs,
• Build dashboards and reports to visualize and interpret business data in supporting business strategic planning,
• Analyze and organize raw data

Requirements:

• Bachelor Degree in Mathematics, Statistics, Information Technology, Information System or similar
• Have at least 1 - 2 years of experience working in the analytics field
• High proficiency in SQL is mandatory. Familiarity with Google BigQuery and/or Python is a major plus
• Experience working with complex ETL and Data Warehouse will be valuable.
• Know what data quality dimensions are, and demonstrate their practice
• Experience with data visualization and data analytics tools
• Excellent analytical thinking, problem-solving skills and data-driven mindset
• Have excellent communication skills
• Have huge curiosity and critical thinking about data domain