Data Analyst, Team Lead at Rainforest Alliance

We are seeking a skilled and dynamic Lead Data Analyst 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 coordinate 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.
• Collaboration and stakeholder engagement: Collaborate closely with internal and external stakeholders to understand their data needs, provide actionable insights, and drive the integration of data into business processes. Work closely with Data Engineering, Architecture, GIS, and Product teams to ensure the alignment and integration of analytics efforts with broader data strategies.
• 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.

Required Skills and Experience:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (Master’s preferred).
• Proven ability (5+ years) in data analytics or a related field, including at least 2 years 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