Sales Analytics Executive
Jakarta, ID
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingMonitor and track GMV, promo spend, channel, merchant and store KPIs
Create monthly sales team targets, incentive plans and performance tracking
Collect data from various sources and build reports and dashboards
Analyze sales promoter performance and present insights to stakeholders
Develop, maintain and own sales-related data marts
From the employer’s posting
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.
Developing, maintaining, and owning sales-related data marts.
What you’ll bring
All qualificationsCore experience
- Bachelor’s Degree preferably in quantitative subject (e.g.
- Proficiency in Microsoft Excel or Google Sheets is required.
- Experience with data visualization tools, e.g.
- 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.
Qualification wording
Bachelor’s Degree preferably in quantitative subject (e.g. Computer Science, Engineering, Economics, or Mathematics)
Proficiency in Microsoft Excel or Google Sheets is required.
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.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- dbt
- Excel
- Looker
- Power BI
- Tableau
- Airflow
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 10, 2026 · 43 days ago
- Recorded sightings
- 92
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on kredivo-group.breezy.hr. The employer’s form will show what is required.
Already applied? Track this application
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.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jakarta, ID
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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