Job description
As Director of Business Intelligence, you will lead the management, architecture, and analysis of our key operational data. This is a highly collaborative role, charged with partnering across the key departments that make up both our value chain and shared services departments. You will work closely with the executive leadership team to define core KPIs, then take a hands-on role in ensuring best practices are met across the company for collecting and reporting on this information. Once you have defined the standards and seams that link our data systems across the company, you will take the reins as head of our internal data science center to set the strategy for how we can deliver better, faster, more effective service to our farmers and customers.
About the Team
Data plays a critical role at Komaza – by putting a smartphone in the hand of every single Field
Extension agent, we are able to collect and analyze real-time information on all aspects of our value chain from Planting to Sales. Business Intelligence is a new department at Komaza, tasked with building the central nervous system of information across the company—including designing new visualization tools, dashboards and human systems for leveraging data in our day-to-day operations.
Professional Attributes
Laser-focused on delivering successful outcomes
Flexible, resourceful, and hands-on enough to do what is necessary to get the job done
Independent, intellectually curious, and comfortable working through ambiguity
Highly collaborative & skilled at soliciting efficient input from others
Passionate about Komaza’s mission and vision — to create life-changing income for poor farmers by building a competitive, large-scale forestry & wood products business.
Qualifications
MBA from top global university (or equivalent degree/work experience).
3-6 years of work experience at industry-leading companies in a relevant field (e.g. technology, consulting), with 2+ years of experience leading high-calibre teammates.
Superb analytical, critical-thinking and quantitative skills, with prior experience in complex systems design, excel modeling and operational implementation
Strong innovation skills to troubleshoot bottlenecks and design continuous improvements.
Ability to retain big-picture strategic awareness while diving deep into details, and providing coaching to help others focus on key factors, rather than getting lost in the weeds.
