Data Analyst

PayTech Nexus Ltd; Daerah Khusus Ibukota Jakarta; On-site; IDR 200,000,000 - 300,000,000; Full time

Job summary

An established industry player is seeking a data-savvy professional to drive insights and growth through data exploration and feature engineering. In this role, you will leverage statistical techniques and data analysis tools to interpret complex data, ensuring quality control and effective documentation. You will collaborate with stakeholders to enhance performance across various campaigns, utilizing your strong presentation skills to communicate actionable insights. Join a dynamic team where your expertise will contribute to innovative solutions in the financial services sector, making a significant impact on client adoption and market growth.

Qualifications

• 3-5 years of experience in data exploration and feature engineering.
• Proficiency in statistical techniques and data analysis tools.

Responsibilities

• Develop project scopes and methodologies, implementing solutions with appropriate tools.
• Monitor client portfolio growth, identifying trends and opportunities.

Skills

Data Exploration

Feature Engineering

Statistical Techniques

Python

SQL

Power BI

Data Storytelling

Stakeholder Management

Presentation Skills

Market Understanding

Education

Degree in Quantitative Field

Tools

MS Excel

MS PowerPoint

Job description

Minimum Requirements:

• A degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering
• A minimum of 3-5 years of relevant work in performing data exploration and feature engineering
• Proficiency in statistical techniques such as Gradient Boosting, Linear & Logistic Regression, Decision Trees, Clustering
• Proficiency in using query languages such as Python, and in Data Analysis and Management Tools such as SQL, Power BI
• Strong ability to interpret complex data into actionable insights to identify opportunities for growth and improvement
• Excellent stakeholder management skills, with a collaborative, diplomatic, and flexible approach
• Excellent presentation skills, including the ability to communicate complex ideas effectively, both verbally and in writing
• Proficiency in storyboarding data storytelling, with strong skills in MS Excel and MS PowerPoint
• Understanding of local market conditions and industry regulations

Nice to have:

• Understand the macro trends impacting payments, banks, and financial services and assimilate the information to develop value propositions and execute client adoption.

Responsibilities:

• Hands-on development of detailed project scopes and methodologies, as well as designing and implementing solutions using appropriate tools and techniques
• Ensuring quality control and maintaining up-to-date documentation for all data science projects
• Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques
• Providing data support for card campaign design, including identification of customer spending tiers, set-up and maintenance of Test & Control groups for campaign targeting, and performance tracking of ongoing and tactical campaigns
• Regularly tracking and benchmarking the portfolio dashboard, focusing on market segments and channel opportunities, and providing data-driven insights to enhance performance of both ongoing and ad-hoc/tactical campaigns
• Managing communication with clients and stakeholders effectively