Data Analyst (Medior/Senior)

SEVEN Retail; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading retail company is seeking a Data Analyst to support sales operations. The role involves maintaining sales databases, analyzing trends, and providing actionable insights to improve performance. Ideal candidates will have 3-5 years of experience in data analysis and strong analytical skills.

Qualifications

• 3-5 years of experience in data analysis, sales operations, or business intelligence.
• Proficient in SQL and data visualization tools.
• Ability to analyze sales trends and customer behavior.

Responsibilities

• Maintain and update the sales database for accurate data.
• Analyze sales trends and provide recommendations.
• Monitor KPIs and report on performance metrics.

Skills

Analytical skills

Problem-solving

Communication

Tools

SQL

Google Spreadsheets

BigQuery

GCP

Superset

Metabase

Google Data Studio

Looker

Job description

Job Descriptions:

1. Maintain and update the sales database to ensure accurate and real-time data availability.
2. Analyze sales trends, customer behavior, and promotional effectiveness to provide strategic recommendations.
3. Support sales target forecasting by leveraging historical data and market trends.
4. Monitor key KPIs such as conversion rates, response time, churn rate, and customer retention to identify gaps and opportunities.
5. Generate regular reports and dashboards to track performance at the center and team level.
6. Collaborate with the sales and operations teams to provide data-driven insights for strategy improvements.
7. Evaluate individual sales performance based on KPIs and recommend rewards or corrective actions.
8. Ensure data integrity across multiple platforms, including CRM, Google Spreadsheets, and sales tracking tools.

Job Requirements:

1. 3-5 years of experience in data analysis, sales operations, or business intelligence.
2. Strong analytical skills with proficiency in SQL, Google Spreadsheets, BigQuery, GCP, or data visualization tools (Superset, Metabase, Google Data Studio, Looker, etc.).
3. Experience managing and analyzing sales or customer behavior data to drive insights.
4. Ability to track and monitor KPIs, providing actionable recommendations to improve performance.
5. Excellent problem-solving skills and attention to detail.
6. Strong communication skills to translate data findings into business strategies.
7. Ability to work independently while collaborating with sales, Growth, and operational teams.