Data Analyst, Coffee - #1092985

About us

We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real.

Key Responsibilities

• Perform comprehensive data analysis to forecast key business trends.
• Gather and maintain databases from various sources using appropriate data collection tools and techniques.
• Apply statistical techniques such as regression and correlation analysis to datasets, ensuring accuracy and consistency in findings.
• Extract and manipulate data through automation tools or manual entries to generate meaningful insights.
• Prepare and present data in structured tables and charts, utilizing tools such as Power BI, Excel, and coding scripts for regular reporting.
• Effectively communicate research findings, analysis methodologies, and actionable recommendations to internal teams and external clients.
• Prepare and deliver presentations at conferences, client meetings, and internal briefings
• Work closely with other industry analysts to stay informed about current trends and to better understand the broader business environment.
• Engage with cross-functional teams to ensure data insights are relevant and actionable.

Qualification & other requirements

• A degree (Bachelor's, Master's) in Data Science, Computer Science, Statistics, Mathematics
• Proficient in Python, VBA, APIs, Web Scraping, Power BI, Excel, Powerpoint
• Demonstrated ability to approach complex problems with statistical, analytical and critical thinking skills.
• Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.
• Capable of collaborating effectively in a team-oriented environment and open to giving and receiving constructive feedback.
• Self-motivated with a passion for continuous learning and a proactive attitude toward tackling challenges.

At ofi, we celebrate our diversity. ofi provides equality of opportunity for all persons with respect to hiring without discrimination on the grounds of race, color, religion, national origin, gender, pregnancy, age, disability, veteran status, or sexual orientation. All employment decisions will be based on qualifications, merit, and business needs.