Job Vacancies at Rainforest Alliance

POSITION SUMMARY:

At Rainforest Alliance, we believe in the value of data. The Data Management and Intelligence department is paving the way for enabling data-based decisions by focusing on the delivery of scale-able data products to the market, supporting internal decision-making by unlocking the value of data, and creating a solid data foundation on which we can continue to build out our data offering.

We are seeking a skilled and dynamic Data Analyst, Team Lead to manage and mentor a team of analysts, oversee projects, and deliver actionable insights that drive business decisions. In this role, you will collaborate across teams, ensure the effective delivery of analytics initiatives, and foster improvement and professional growth within your team. If you’re passionate about mentoring talent, driving results, and turning insights into action, this is your opportunity to make a real impact.

RESPONSIBILITIES :

• Team Leadership & Mentorship: Lead and mentor a team of 3-4 Data Analysts, ensuring the successful delivery of projects for internal and external stakeholders. Foster an environment of continuous development and professional growth through regular feedback, mentorship, and skill-building opportunities.
• Project Management & Delivery: Effectively oversee and balance the team’s workload. Ensure proper project management of data analytics initiatives, prioritizing tasks, driving timely delivery, and aligning outcomes with business objectives.
• Cross-Organisation Collaboration: Collaborate closely with Data Engineering, Architecture, GIS, and Product teams to ensure the alignment and integration of analytics efforts with broader data strategies. Work with various teams and departments to understand their data needs, provide actionable insights, and drive the integration of data into business processes.
• Data Visualization and Reporting: Develop clear and impactful data visualizations and reports to effectively communicate insights to stakeholders and support data-driven decision-making.
• Continuous Improvement: Stay up-to-date with the latest trends, tools, and methodologies in data analysis, driving innovation and continuous improvement within the team.
• Data Governance: Ensure compliance with data governance policies, regulations, and ethical standards to safeguard data privacy and security.

QUALIFICATIONS:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (Master’s preferred).
• 5+ years of experience in data analytics or a related field, including at least 1 year in a leadership or team management role.
• Proficiency in tools such as SQL, Python, R, and BI platforms (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills with a solid understanding of statistical methods.
• Exceptional communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
• Knowledge of data governance principles, data privacy regulations, and ethical considerations in data analysis.

Preferred Skills:

• Knowledge of machine learning concepts and applications.
• Knowledge of global commodity supply chains and their sustainability requirements.
• Experience working with voluntary standards within the agriculture or forestry sectors.

go to method of application »

Position summary:

At Rainforest Alliance, we believe in the value of data. The Data Management and Intelligence department is paving the way for enabling data-driven decisions by focusing on the delivery of scalable data products, supporting internal decision-making, unlocking the value of data, and creating a solid data foundation on which we can continue to build our data offering.

We are looking for a talented and motivated Data Analyst to join our team and contribute to the development of data-as-a-product solutions. In this role, you will be responsible for creating compelling dashboards and reports, designing reliable data models, and analyzing complex datasets to uncover insights that drive business strategies. You will collaborate with a variety of internal and external stakeholders to understand their data needs, ensuring that the data products meet those requirements and deliver real value.

This position offers an exciting opportunity to contribute to impactful projects and grow in a collaborative, data-driven environment.

 Responsibilities: 

• Data Visualization & Reporting: Create compelling and easy-to-understand dashboards, reports, and visualizations using BI tools like Tableau or Power BI to effectively communicate insights to stakeholders.
• Data Modelling: Design and build scalable and reliable data models. Collaborate with the Data Engineering team to meet data requirements and ensure optimal model performance. Leverage best practices to deliver self-service solutions while maintaining flexibility for future enhancements.
• Collaboration & Stakeholder Engagement: Work closely with internal and external stakeholders to understand their needs, gather data requirements, and provide actionable insights that address business challenges. Collaborate with Data Engineering, Architecture, GIS, and Product teams to ensure analytics efforts align with the organization's broader data strategies.
• Data Analysis & Insights: Analyse large and complex datasets to uncover trends, patterns, and insights that inform business strategies and operations. Ensure data quality by proactively identifying, analysing, and addressing inconsistencies, anomalies, or inaccuracies within datasets. Collaborate with Data Engineering and business teams to investigate root causes.
• Continuous Learning & Improvement: Stay updated on the latest tools, techniques, and trends in data analysis. Apply innovative methods to enhance the effectiveness and efficiency of analytics initiatives.
• Communication: Effectively present analytical findings to diverse audiences through presentations, workshops, and training sessions. Support teams in building data literacy and understanding analytics tools and insights. Regularly deliver presentations to non-technical audiences, both within and outside the organisation.

 Qualifications: 

Required Skills and Experience:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Ability to work independently, take ownership of projects, and ensure timely delivery.
• 2+ years of experience in data analysis or a related role.
• Proficiency in tools such as SQL, Python, R, and BI platforms (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills, with an ability to work with complex datasets.
• Excellent communication and presentation skills, with the ability to translate technical insights for non-technical audiences.
• Familiarity with data governance principles and data privacy regulations.

 Preferred Skills:

• Advanced proficiency in Microsoft Excel.
• Exposure to machine learning concepts and their applications.
• Knowledge of global commodity supply chains and sustainability practices.
• Experience working with voluntary standards in agriculture or forestry.