Data Analyst

Mobee; Jakarta Pusat; On-site; IDR 279,000,000 - 468,720,000; Full time

Job summary

Mobee is seeking a Data Analyst & Engineer to help shape data-driven insights across the platform, bridging data analysis with trading and product decisions.

You will design data infrastructure, build ETL pipelines, and develop reports to improve data quality and business outcomes. Collaboration with product, marketing, and finance teams is essential to meet data requirements and drive improvements.

Qualifications

• Bachelor's degree in CS, Data Science, Eng, Stats, or related field.
• Proven data engineering experience with database design and SQL.
• Proficiency in Python for data analysis and management.
• Experience using data visualization tools like Tableau or Power BI.

Responsibilities

• Design, build, and maintain large-scale data processing infrastructure.
• Develop and maintain ETL processes.
• Create dashboards and reports for stakeholders.
• Collaborate with Product, Marketing, Trading, and Finance to define data needs.
• Provide data-related expertise and support across teams.

Skills

SQL

Python

Data visualization

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field

Tools

Tableau

Power BI

ETL tools

Job description

As a Data Analyst & Engineer at Mobee, you will play a pivotal role in shaping the direction of our fast-growing platform by leveraging data-driven insights to optimize and drive the business forward. This role bridges the gap between Data Analysis and Trading, allowing for a comprehensive approach to data management, analysis, and optimization.

Job Description

Data Infrastructure and ETL:

• Design, construct, install, and maintain large-scale processing systems and other infrastructure.
• Build and maintain ETL (Extract, Transform, Load) processes.

Data Analysis:

• Analyze data to identify patterns, trends, and anomalies.
• Develop scripts and queries to automate routine tasks and improve data quality.
• Create dynamic and static reports using visualization tools.
• Collaborate with stakeholders to ensure reports meet business needs.
• Work closely with other teams (i.e. Product, Marketing, Trading, Marketing, Finance) to determine data requirements and implement solutions.
• Provide technical expertise and support for data-related issues.

Qualifications

Education:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field

Technical Expertise:

• Proven experience in a data engineering role, with expertise in database design and SQL
• Familiarity with Python for data analysis and management tools
• Experience with data visualization tools (e.g., Tableau, Power BI).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Attention to detail and a strong commitment to data accuracy, security & governance.

Highly Preferred:

• Certifications related to data engineering or analysis.
• Experience in a cloud environment (e.g., AWS, GCP, Azure).
• Innate curiosity on investment, cryptocurrency, blockchain technology, and finance.
• Hungry to learn new knowledge and best practices.