Data Analyst (Profitability)

Join Unioil as a Data Analyst (Profitability) in beautiful Bali and play a pivotal role in driving data-driven decisions to enhance retail pricing strategies. In this role, you will analyze competitor pricing, assess price elasticity trends, and optimize margin performance across the retail network. With Unioil's strong commitment to innovation and data-driven decision-making, you'll have the opportunity to work with cutting-edge tools and a dynamic team. Based in Denpasar, you'll be at the heart of Indonesia's retail landscape, contributing to the success of one of the country's leading retail chains.

As a Data Analyst (Profitability) at Unioil, you will work closely with cross-functional teams to gather, clean, and analyze vast amounts of data using industry-standard tools like SQL, Python, and Tableau. Your insights will help shape pricing strategies that maximize profitability while maintaining competitive pricing in the market. You'll be responsible for creating detailed reports and dashboards that provide actionable insights to senior management. This role offers a unique opportunity to leverage your analytical skills in a fast-paced retail environment, with potential for career growth and professional development.

📋 Tanggung Jawab Pekerjaan

Key Responsibilities:

• Analyze competitor pricing data to identify market trends and opportunities for pricing optimization.
• Assess price elasticity trends to determine the optimal pricing strategies for Unioil's retail products.
• Develop and maintain data models and algorithms to forecast sales and profitability.
• Create detailed reports and dashboards using tools like Tableau and Power BI to visualize data and support decision-making.
• Collaborate with cross-functional teams to gather, clean, and analyze data using SQL, Python, and other data analysis tools.
• Optimize margin performance across the retail network by identifying cost-saving opportunities and pricing inefficiencies.
• Present findings and recommendations to senior management, ensuring alignment with business objectives.
• Stay up-to-date with industry trends and best practices in retail pricing and data analysis.

🎓 Kualifikasi & Syarat

Kualifikasi & Syarat:

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience as a Data Analyst or similar role in a retail or pricing-focused environment.
• Proficient in SQL, Python, and data visualization tools like Tableau or Power BI.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent communication and presentation skills to effectively convey insights to both technical and non-technical stakeholders.
• Familiarity with retail pricing strategies and concepts is a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
• Certification in data analysis or related fields is a plus.

🛠️ Keahlian

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