Data Analytics Lead

JD

Essential Criteria

Significant experience in product analytics, decision science, or data science within a SaaS or technology
environment.
Proven experience partnering closely with Product and Engineering teams.
Strong SQL skills and experience working with large-scale datasets.
Experience writing scripts (e.g. Python, Spark or similar) to retrieve, combine, and analyse data.
Strong statistical reasoning and ability to apply appropriate analytical methods.
Experience applying AI/ML techniques to real-world business or product problems (e.g. predictive
modelling, NLP, or LLM-based applications).
Familiarity with modern AI tooling and frameworks (e.g. Python ML stack, LLM APIs, or similar).
Ability to rapidly prototype and evaluate AI-driven approaches, and communicate their value and
limitations to stakeholders.
Demonstrated ability to translate ambiguous business problems into structured, data-driven analysis.
Excellent communication skills, with a focus on influencing decisions and driving action.
Comfortable operating independently and setting direction in an emerging or evolving function.

Desirable Criteria

Experience in financial services, particularly working with trading, securities, market, or regulatory data.
Experience establishing or scaling an internal analytics or decision science function.
Familiarity with modern analytics tooling (e.g. dbt, BI tools, experimentation platforms).