job description
Join GIC Private Limited as an AVP, Business Solutions & Analytics and drive data-driven decision-making across our global operations. In this pivotal role, you will collaborate with cross-functional teams to identify strategic opportunities, optimize business processes, and deliver actionable insights. Based in Bali, you’ll enjoy a dynamic work environment while contributing to high-impact projects in the banking and financial services sector.
As a trusted advisor, you will leverage advanced analytics, quantitative modeling, and business intelligence tools to solve complex challenges. Your expertise will shape the future of our organization, ensuring sustainable growth and operational excellence. If you thrive in a fast-paced, innovative setting and have a passion for transforming data into strategic value, this is your opportunity to make a difference.
Responsibility
- Partner with senior stakeholders to define business objectives and translate them into analytical solutions.
- Develop and implement data-driven strategies to enhance operational efficiency and profitability.
- Lead end-to-end analytics projects, from data collection to insight delivery, using tools like SQL, Python, or R.
- Design and maintain dashboards and reports to track KPIs and business performance.
- Identify trends, risks, and opportunities through predictive modeling and statistical analysis.
- Collaborate with IT and data teams to ensure data integrity and governance.
- Present findings to executive leadership with clear, actionable recommendations.
- Stay ahead of industry trends in fintech, analytics, and business intelligence.
Qualifications
- Bachelor’s or Master’s degree in Business Analytics, Finance, Economics, or a related field.
- 5+ years of experience in business analytics, consulting, or financial services.
- Proven expertise in data visualization tools (Tableau, Power BI) and statistical software.
- Strong proficiency in SQL, Python, or R for data manipulation and analysis.
- Excellent communication skills to articulate complex insights to non-technical stakeholders.
- Experience with financial modeling, risk assessment, or investment analytics is a plus.
- Ability to work independently in a remote or hybrid setting.
- Certifications (e.g., CFA, FRM, or data science credentials) are advantageous.