Sales Analytics Executive

Kredivo Group; Indonesia; On-site; IDR 180,000,000 - 260,000,000; Full time

Job summary

Kredivo is seeking an experienced Data Analyst to support analytics for the Business Development function in Indonesia. You will track KPIs for sales promoters, sales operations, merchant acquisition, and BD, partnering with product, data engineering, and data science to drive actionable insights.

Responsibilities include dashboards, data marts, and reporting, plus collaboration with stakeholders to deliver data-driven solutions and growth opportunities.

Qualifications

• Bachelor’s degree in a quantitative field (e.g., CS, Engineering, Economics, Mathematics).
• Minimum 4 years’ experience as Business/Data Analyst, Sales Data Analyst, or Product Analyst.
• Excellent analytical skills with ability to question data and derive recommendations.
• Advanced SQL skills are mandatory.
• Proficiency with Excel or Google Sheets.
• Strong communication to translate data into insights for non-technical stakeholders.
• Experience with data visualization tools (Tableau/Power BI/Mode/Looker).
• English proficiency for professional communication.
• Experience with data warehouse modelling is a plus.
• Experience with data pipelines (Airflow, dbt) and Python is advantageous.

Responsibilities

• Monitor and track key metrics and KPIs (GMV growth, promo spend efficiency, sales channel performance).
• Create monthly sales targets, incentive plans, and performance tracking.
• Collect data from multiple sources and generate reports and dashboards.
• Analyze promoter performance and present insights to stakeholders.
• Collaborate with sales/promoter teams to deliver data-driven solutions.
• Identify opportunities for promoter growth and improvement.
• Support internal product development from a data perspective.
• Develop, maintain, and own sales-related data marts.
• Document data assets, pipelines, and root cause analyses.

Skills

Advanced SQL

Excel/Sheets

Tableau

Power BI

Looker

Mode

Data visualization

Python

Airflow

dbt

Data warehouse modelling

Communication

English proficiency

Education

Bachelor’s Degree in quantitative subject

Tools

Tableau

Power BI

Looker

Mode

Excel

Airflow

dbt

Job description

Kredivo is looking for an experienced Data Analyst to support analytics needs for the Business Development function. This role is responsible for tracking and analysis for key metrics and KPIs for the sales promotors, sales operation, merchant acquisition, and business development departments. The successful candidate will be working closely with various stakeholders, namely product manager, product analyst, data engineer, and data scientist to deliver actionable insights and ensure data-driven decision-making.

Responsibilities

• Monitoring and tracking key business metrics and KPIs such as GMV growth, promo spend efficiency, sales channel performance, merchant acquisitions, and store performances.
• Creating monthly sales team targets, incentive plans, and performance tracking.
• Collecting and organizing data from various sources and generating reports and dashboards.
• Analyzing sales promoter performance, patterns, and metrics and presenting insights to stakeholders.
• Collaborating with the sales promoter team to understand operational needs and deliver data-driven solutions.
• Identifying opportunities for sales promoter growth and improvement.
• Providing support for internal product development from data perspective.
• Developing, maintaining, and owning sales-related data marts.
• Documenting data assets including data marts, automated pipelines, insights, and root cause analysis.

Requirements

• Bachelor’s Degree preferably in quantitative subject (e.g. Computer Science, Engineering, Economics, or Mathematics)
• Minimum 4 years’ experience as Business Data Analyst, Sales Data Analyst, or Product Analyst.
• Excellent analytical skills. You need to be comfortable with data – analyze it, question its validity, interpret it, and develop recommendations based on it.
• Advanced SQL skills are mandatory.
• Proficiency in Microsoft Excel or Google Sheets is required.
• Great communication skills to translate complex data into clear business insights for non-technical stakeholders.
• Experience with data visualization tools, e.g. Tableau, PowerBI, Mode, or Looker.
• Proficient in English, with the ability to converse professionally in both written and verbal communication.
• Experience with data warehouse modelling is a strong advantage.
• Experience with data pipeline automation (Airflow, dbt) and programming skills in Python are a strong advantage.
• Comfortable working in a dynamic and fast-paced environment.