Data Analytics Manager

JAPFA FOOD INDONESIA; Jakarta Pusat; On-site; IDR 420,000,000 - 780,000,000; Full time

Job summary

JAPFA FOOD INDONESIA is seeking an experienced Data Analytics Manager to lead the analytics team in delivering timely, actionable insights for business growth. The role focuses on developing analytics strategies, dashboards, and reports to support management decisions, while ensuring data quality and governance.

Collaboration across functions is essential to translate data into strategic recommendations. The ideal candidate will have 5+ years in analytics, strong SQL and BI tool proficiency, and

Qualifications

• Bachelor’s degree in Statistics, Math, Data Science, IT, Business Analytics, or related field.
• Minimum 5 years of experience in data analytics, BI or related fields, with leadership experience.
• Strong analytical and problem‑solving skills with ability to translate data into actionable insights.
• Proficient in SQL, Microsoft Excel, and data visualization tools (Power BI/Tableau).
• Experience in managing large datasets, dashboards, and performance analysis.
• Knowledge of statistical analysis, data modeling, and BI methodologies.
• Excellent communication and stakeholder management skills.
• Strong leadership to mentor and develop analytics team.

Responsibilities

• Lead and manage the data analytics team to deliver timely business insights.
• Develop and implement data analytics strategies aligned with business objectives.
• Analyze performance, sales trends, customer behavior, and operations for opportunities.
• Develop and maintain dashboards, reports, and data visualization tools for decisions.
• Translate complex data into clear insights and strategic recommendations.
• Collaborate with cross‑functional teams on data‑driven solutions.
• Ensure data accuracy, integrity, and governance processes.
• Monitor KPIs and provide regular analytical reports to management.
• Drive continuous improvement in analytics methodologies and reporting.

Skills

Leadership

Data analysis

SQL

Excel

Stakeholder communication

Problem solving

Education

Bachelor's degree in Statistics / Mathematics / Data Science / IT / Analytics

Tools

Power BI

Tableau

Data visualization

Job description

Key Responsibilities

• Lead and manage the data analytics team to deliver accurate, timely, and actionable business insights.
• Develop and implement data analytics strategies aligned with business objectives.
• Analyze business performance, sales trends, customer behavior, and operational data to identify opportunities for improvement.
• Develop and maintain dashboards, reports, and data visualization tools to support management decision-making.
• Translate complex datasets into clear insights and strategic recommendations for stakeholders.
• Collaborate with cross-functional teams to identify business challenges and provide data-driven solutions.
• Ensure data accuracy, consistency, integrity, and effective data management processes.
• Monitor key business performance indicators (KPIs) and provide regular analytical reports to management.
• Drive continuous improvement in analytical methodologies, reporting processes, and data utilization.

What We're Looking For

• Bachelor's degree in Statistics, Mathematics, Data Science, Information Technology, Business Analytics, or a related field.
• Minimum 5 years of experience in data analytics, business intelligence, or related fields, with proven leadership or managerial experience.
• Strong analytical and problem‑solving skills with the ability to translate data into actionable business insights.
• Proficient in SQL, Microsoft Excel, and data visualization tools such as Power BI or Tableau.
• Experience in managing large datasets, developing dashboards, and conducting business performance analysis.
• Strong understanding of statistical analysis, data modeling, and business intelligence methodologies.
• Excellent communication and stakeholder management skills.
• Strong leadership skills with the ability to manage, mentor, and develop a high‑performing analytics team.