Deskripsi Pekerjaan
Are you a data-driven professional with a passion for retail strategy and financial optimization? Unioil is seeking a highly analytical Data Analyst (Profitability) to join our team in Pasig City. In this pivotal role, you will be the driving force behind our retail pricing strategies, ensuring that our fuel and non-fuel offerings remain competitive while maximizing bottom-line margins.
As part of our dynamic team, you will dive deep into market trends, competitor behavior, and consumer price elasticity. You will bridge the gap between raw data and actionable business intelligence, helping leadership make informed decisions that sustain our market leadership. If you possess a keen eye for patterns, advanced statistical modeling skills, and a desire to shape the profitability of a leading industry player, we want to hear from you.
Tanggung Jawab
- Monitor and analyze daily competitor pricing across retail networks to ensure market competitiveness.
- Conduct deep-dive price elasticity studies to determine the impact of pricing shifts on volume and revenue.
- Develop and maintain automated dashboards to track margin performance and key profitability KPIs.
- Collaborate with cross-functional teams to recommend localized pricing strategies based on regional trends.
- Execute regular audits of retail site performance against established profitability targets.
- Identify revenue leakages and margin improvement opportunities through advanced data modeling.
- Prepare comprehensive reports and presentations for senior management regarding market positioning and profitability trends.
Kualifikasi
- Bachelor’s degree in Statistics, Economics, Mathematics, Finance, or a related quantitative field.
- Minimum of 2-4 years of experience in data analysis, pricing, or revenue management.
- Proficiency in SQL and advanced Excel; experience with Power BI, Tableau, or similar visualization tools is highly preferred.
- Strong understanding of statistical modeling, regression analysis, and price elasticity concepts.
- Excellent analytical and problem-solving skills with a high attention to detail.
- Ability to translate complex data findings into clear, business-focused recommendations.
- Professional fluency in English and strong communication skills.