Senior Data Analyst: Dashboarding & Insights Leader

FLIP; Indonesia; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Flip is seeking a Senior Data Analyst to drive data discovery and insights for business and product improvements. You will collaborate with Data Engineers to enhance data quality and reliability across dashboards and models.

The role requires 4+ years of analytics experience, strong SQL, Python/R, and advanced visualization skills in Tableau/Looker. You will work on scalable ETL processes and mentor junior teammates in a fast-growing Indonesian company.

Qualifications

• 4+ years of data analytics experience.
• Bachelor’s degree in System Information, Computer Science, Mathematics, Statistics, or related fields.
• Advanced SQL and data manipulation skills.
• Data wrangling experience with Python/R.
• Advanced Excel knowledge.
• Excellent data visualization skills using Tableau/Looker or other data visualization tools.
• Detail-oriented with a focus on accuracy.

Responsibilities

• Develop and implement dashboarding best practices for standardized visualizations across teams.
• Empower self-serve analytics by designing scalable analytics tools.
• Optimize ETL pipelines for reliability and scalability.
• Develop and maintain reliable data models for key business metrics.
• Create processes to ensure data quality and accuracy.
• Handle data discovery, exploration, and insights for business/product improvements.
• Lead and coach junior team members on projects.

Skills

Advanced SQL

Python/R

Excel

Tableau/Looker

Data visualization

Data modeling

ETL pipelines

Education

Bachelor’s degree in System Information, Computer Science, Mathematics, Statistics, or related fields

Tools

Snowflake

BigQuery

Redshift

Postgres

Oracle

Teradata

MySQL

Job description

Flip is seeking a Senior Data Analyst to drive data discovery and insights for business and product improvements. You will collaborate with Data Engineers to enhance data quality and reliability across dashboards and models.

The role requires 4+ years of analytics experience, strong SQL, Python/R, and advanced visualization skills in Tableau/Looker. You will work on scalable ETL processes and mentor junior teammates in a fast-growing Indonesian company.