Senior Data Analyst

Amar Bank; Daerah Khusus Ibukota Jakarta; On-site; IDR 111,600,000 - 167,400,000; Full time

Job summary

Amar Bank is looking for a Data Analyst to join their team in Jakarta, Indonesia. In this role, you will analyze data to provide insights and support data-driven decision-making across the organization. Responsibilities include maintaining automated reports, collaborating with Data Engineers to ensure data quality, and presenting findings in a visually appealing format. The ideal candidate has at least 3 years of experience and is proficient in tools like Tableau and Python, with a keen eye for detail and problem-solving skills.

Qualifications

• At least 3 years of experience as a data analyst.
• Ability to create user-friendly and insightful dashboards/reports using BI tools.
• Experience operating various data sources for analysis and reporting.
• Experience providing various forms of analysis using tools like BigQuery and Python.
• Knowledge of data mining concepts including statistics and machine learning.
• Experience processing core banking data and understanding digital lending flow.
• Excellent storytelling skills to explain past projects.
• Strong problem-solving mindset and detail-oriented approach.

Responsibilities

• Provide analysis to measure impact of new features and campaigns.
• Create and manage automated reports/dashboards based on requirements.
• Collaborate with Data Engineers to maintain data quality.
• Translate complex findings into simplified business-applicable material.
• Deliver tasks with high accuracy and speed.

Skills

Data analysis

Dashboard creation with BI tools

Data mining concepts

Creative problem solving

Interpersonal skills

Tools

Tableau

Power BI

BigQuery

Python

R

Job description

About The Role

As part of the Data Analyst team, you will collaborate with our stakeholders to solve problems by providing data and analytics solutions. You will play an essential role in creating a data culture in the company by ensuring stakeholders can produce data‑based decisions. If you are detail‑oriented and love working with millions of data, this role gives you the chance to fully develop not only technical skills but also business and product acumen.

What Will You Do

• Provide analysis to measure impact of new features, business flows, campaigns and present results in a visual storytelling format.
• Create, maintain and manage automated reports/dashboards based on stakeholder requirements.
• Create and manage Data Marts to streamline work.
• Ensure data correctness by collaborating with Data Engineers to maintain data quality.
• Become a strategic partner with stakeholders from various backgrounds by advising on metrics, data sources, visualizations and analytical methods for better data‑based decisions.
• Translate complex findings into simplified and business‑applicable material.
• Deliver tasks with high accuracy and speed.
• Stay up to date with data and analytics trends.

What You Need To Have

• At least 3 years of experience as a data analyst.
• Ability to create user‑friendly and insightful dashboards/reports using BI tools such as Tableau, Power BI, Google Data Studio, etc.
• Experience operating various data sources (NoSQL, RDBMS, JSON, etc.) for analysis and reporting.
• Experience providing descriptive, diagnostic, predictive, or prescriptive analysis using tools such as BigQuery, Python, R, SPSS, etc.
• Knowledge of data mining concepts including statistics, machine learning, forecasting, etc.
• Experience processing core banking data and understanding the end‑to‑end digital lending flow.
• Excellent storytelling skills to explain past projects.
• Holistic thinking across functions.
• Comfortable working with millions of rows of data.
• Creative problem solving and proposing alternative solutions.
• Strong interpersonal skills for cross‑functional collaboration.
• Self‑driven, curious, detail‑oriented with a problem‑solving mindset.

Plus Point If You Have

• Experience with Google BigQuery and Looker.
• Experience exploring data from third‑party platforms (web/mobile analytics, marketing attribution, API logging, etc.).
• Best practices in building Data Marts.