We’re looking for a Head of Data Analytics to build Hokodo’s fledgling analytics organisation
and empower everyone to make data-based decisions. You will work with stakeholders from all
functions, including Customer Success, Operations, Product, Credit and Fraud.
We’re a fast growing team of experienced tech, insurance and data science specialists,
based in London and Paris, at the early stage of our adventure. Our product addresses a
massive opportunity - fixing B2B payments. We already have a list of stellar clients and
we’re now embarking on a rapid scale-up journey across western Europe. We’re well funded
too, having just completed our Series A.
Now, the serious business bit...
We’re bringing B2B commerce into the 21st century by modernising the way businesses buy
from each other. In short, we make it easier and safer for merchants to offer credit terms to
their business customers. A bit like a “buy now pay later” for B2B.
Almost 60% of B2B trade currently takes place on credit terms. Yet, current processes for
offering trade credit are outdated and not fit for the digital age. We solve these issues by
offering B2B merchants a powerful set of tools, allowing them to offer credit terms to their
business customers instantly through a frictionless checkout experience. Merchants that
have already integrated with us see on average a 40% increase in revenues... and we’re
only just getting started.
Hokodo solves a massive issue for B2B trade in general, and particularly for B2B online
trade. B2B trade represents $12 TN p.a. in Western Europe. $680 BN of these sales happen
online, generating a $15 BN revenue opportunity for Hokodo, which is set to double every 5
Hire, manage and develop a team of Business Intelligence Analysts
Lead the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-driven processes that drive business value
Define and manage a long-term vision and portfolio of initiatives to improve the customer experience and business results through creating metrics, analysis, visualisations, and data-driven storytelling
Drive the Data & Analytics roadmap and prioritise business insight requests, balancing tactical and strategic information needs
Shape and execute a vision for data infrastructure and data governance, in collaboration with the Engineering and Data Science teams
Partner with stakeholders to understand, anticipate, and respond to current and future data needs
Help teams identify their key metrics and how to impact them based on their data
Standardise metrics and reporting across the organisation
Success in this role will require technical breadth and strong communication and business
partnering skills. You will need to understand both the business side and data engineering side
of Data so that you can be an effective leader of the team and collaborate effectively with
Engineering and Data Science.
Bachelor's degree in Mathematics, Statistics, Economics, Engineering, or a related
5+ years of industry experience in Business Intelligence, Data Science, Data
Engineering or related field with a track record of producing actionable business
insights from large datasets
Preferably 3+ years of experience managing Business Intelligence Engineers, Data
Scientists, and/or Business Analysts
Proficiency in at least one programming language used for data analysis / data science
such as Python
Hands-on experience with SQL and data visualisation tools (e.g. Looker, Tableau)
Preferably experience working with AWS technologies (Redshift, S3, EMR)
Excellent communication skills to summarise insights and recommendations to audiences of varying levels of technical sophistication
Ability to navigate ambiguity to develop and champion new ideas and creative solutions
Ability to lead successfully in a dynamic, fast-paced environment
Ability to lead and coach a team to perform complex analyses from scoping business requirements through implementation