PT. Langkat Nusantara Kepong Hiring! Full Time Data Analyst - Financial Analyst in - Ricebowl

The Data Analyst / Financial Analyst is responsible for transforming raw data into meaningful insights that support business strategy, financial planning, and operational decision-making. This role combines analytical thinking with financial understanding to help organizations measure performance, identify opportunities, and improve overall efficiency.

The position involves collecting, cleaning, and validating data from multiple sources to ensure accuracy and reliability. The analyst works with large datasets to identify trends, patterns, anomalies, and correlations that impact business and financial performance.

A key responsibility includes developing and maintaining dashboards, reports, and financial models that track key performance indicators (KPIs), revenue, costs, profitability, and operational metrics. The role supports budgeting, forecasting, and variance analysis processes to help stakeholders understand financial health and make informed decisions.

The Data Analyst / Financial Analyst also performs scenario analysis, predictive modeling, and performance analysis to evaluate potential outcomes and support strategic planning. Findings are translated into clear insights, reports, and visualizations that are accessible to both technical and non-technical audiences.

In addition, the role collaborates with finance, business, and operations teams to understand reporting requirements and deliver actionable recommendations. The analyst contributes to improving data processes, enhancing reporting systems, and ensuring data quality across the organization.

Overall, this role plays a critical part in enabling data-driven decision-making, improving financial visibility, and supporting business growth through accurate analysis and strategic insights.

• Strong analytical and quantitative skills.
• Ability to collect, clean, and analyze large datasets.
• Solid understanding of financial concepts such as budgeting, forecasting, and variance analysis.
• Proficiency in Excel, spreadsheets, and data analysis tools.
• Experience with dashboards, reporting tools, or business intelligence platforms.
• Ability to build financial models and performance reports.
• Strong attention to detail and high accuracy in data handling.
• Ability to identify trends, patterns, and insights from complex data.
• Excellent written and verbal communication skills.
• Ability to present findings clearly to different stakeholders.
• Strong organizational and time-management skills.
• Ability to manage multiple tasks and deadlines effectively.
• Collaborative mindset and ability to work across departments.
• Adaptability and willingness to learn new analytical tools and techniques.
• Strong business awareness with a focus on actionable insights.