Extensive experience in end-to-end analytical delivery, i.e. requirement capture, stakeholder management, metric design as well as delivering complex analysis
Solid demonstrable technical experience using analytical tools, statistics, and data science techniques to build experiments, test hypotheses, and conduct analysis
Demonstrable experience in looking at data from a variety of angles (i.e. product/commercial performance, operations, finance, and user experience) using both technical skills and deep product/business understanding
Experience in mentoring and nurturing other members of the team
Strong technical experience with SQL and Python
Be a self-starter who takes the initiative in spotting opportunities and finding ways to solve business problems using data
Comfortable with engaging with all levels of stakeholders and explaining complex technical issues to non-technical audiences
Desirable
Experience in working with technology and product development teams
Good understanding of Agile methodologies
Experience with BI tools (i.e. Looker, Tableau etc.)
Experience in using big data & cloud technologies
SaaS and Product analytics background, understanding how to devise metrics and KPIs in a SaaS environment
Experience in Machine Learning, building data products using ML
Responsibilities
Technical hands-on delivery on measuring product performance through the product development cycle i.e. design experiments to test the hypothesis, define success metrics of features, and define the data points needed capturing to facilitate accurate measurement
Apply technical data skills (data science, statistics, coding/scripting) and expertise to produce strategic as well as tactical insights that will aid product strategy, discovery, and planning
Work in partnership with product managers, applied scientists and engineers to define, measure, and communicate product metrics
Act as a mentor for junior Product Data Scientists, providing guidance on their development, and supporting and reviewing delivery when needed
Ensure alignment in analytical delivery between Product, R&D, and Analytics Engineering Team
Be a thought leader in the use of data and analytics, help and educate a diverse group of data users to utilise Onfido’s tools and data assets