Job Description

• Sales Performance Analysis and Strategic Development
• Analyzed market research, survey data, and monthly product sales performance metrics to comprehensively evaluate the effectiveness of the sales team, specifically focusing on the top and bottom 10% of performers.
• Developed data-driven recommendations for sales and marketing strategies that are forecasted to significantly increase market share.
• Key Deliverables:
• Sales & Marketing Key Performance Indicator (KPI) Framework:
• Designed and implemented a specific Marketing Indicator (KPI) framework to individually assess the performance of Sales Representatives across all 12 sales regions.
• This framework was used to determine bonus eligibility by tracking metrics such as:
• In-house clinic visits (to promote products and educate staff).
• Customer registration success rate for the "MC Club" loyalty program, which aims to secure customer data for use in loyalty marketing and drive repeat purchases.
• Annual Customer Loyalty & Gifting Strategy:
• Conducted a deep-dive analysis of company sales data to formulate the corporate New Year gifting strategy.
• Identified and segmented the specific clinics eligible for a New Year gift based on their verified and completed purchase volume.
• The goal of this targeted approach was to maximize customer appreciation and foster loyalty, thereby encouraging continued purchasing and business growth in subsequent years.

Job Description

• Strategic Policy Analysis and Risk Management
• My core responsibility involved executing rigorous analytical procedures within the underwriting and policy management framework. I was tasked with the detailed evaluation and processing of a substantial volume of data relating to property insurance.
• Specifically, I evaluated and processed over 500 property insurance policy files during my tenure. This task required more than mere documentation review; it demanded a deep quantitative analysis of the factors driving risk and pricing decisions.
• I heavily utilized Microsoft Excel as the primary tool to manage and model complex datasets. My analytical efforts focused on two critical areas:
• Risk Factor Analysis: This involved collecting and scrutinizing all variables associated with the insured properties, such as asset valuation, coverage types (e.g., fire, catastrophe), security measures, and geographical exposure. The goal was to accurately determine the inherent risk level of each policy.
• Premium Data Analysis: I meticulously verified the collected premium against the assessed risk profile to ensure that the pricing strategy was balanced, actuarially sound, and aligned with proper underwriting guidelines.

Job Description

• My focus was on conducting in-depth analysis of documentation and data related to Marine and Cargo Insurance policies, a critical function at the heart of insurance business operations. My main responsibility was the meticulous evaluation and processing of marine and cargo insurance policy files.
• In performing this task, Microsoft Excel was the primary analytical tool employed. This represents a crucial skill in managing large and complex datasets. Specifically, I executed analysis on two key data components:
• Risk Factors Analysis: This involved identifying and assessing various variables that impact the underwriting risk of individual cargo shipments or vessels. Examples include: type of goods being transported, sailing routes, origin/destination ports, type of conveyance (ship or aircraft), and claims history/loss experience. This analysis significantly enhanced the accuracy of risk level determination.
• Premium Data Analysis: I verified the consistency between the collected premium and the assessed risk level. This ensured that the premium calculation was accurate according to established criteria and fair pricing principles, in line with the Terms and Conditions of Coverage (such as Institute Cargo Clauses).