Analyst Product - 3

• Shape and influence the strategy

  for Commercial Services initiatives by identifying product and marketing opportunities using data.

• Own end-to-end analytics initiatives

  from problem scoping to stakeholder alignment to delivery of insight and recommendations.
• Lead and structure

  deep-dive analyses

  into customer lifecycle, upgrade behaviour, churn triggers, pricing sensitivity, and more.
• Define and monitor

  critical KPIs

  for product launches and ongoing performance ensuring product/marketing teams are aligned with impact metrics.
• Partner with Product and Marketing leaders to

  design experiments

  , evaluate performance, and generate data-backed business cases.
• Use

  SQL and Python

  to explore large datasets, run statistical analyses, build segmentations, and test hypotheses.

• Proactively identify white spaces

  for analytics contribution bring fresh ideas, analytical frameworks, and scalable approaches.

• Coach and influence

  other analysts or stakeholders informally to elevate analytics maturity across the business.
• Translate complex data into compelling narratives and visualisations using Looker or other BI tools.
• Serve as a

  data advocate

  , bringing clarity to ambiguity and championing a culture of insight-driven decision making.

What We Are Looking For

• Have

  5+ years

  of analytics experience with increasing scope, preferably in a high-growth product or SaaS company.
• Are equally comfortable

  getting into the data yourself

  and

  shaping discussions at the leadership table

  .
• Have a strong

  commercial mindset

  and an instinct for prioritising projects based on potential business impact.
• Are known for

  creating clarity from ambiguity

  , and for leading structured thinking in fast-paced, evolving contexts.
• Have a consistent track record of

  influencing senior stakeholders

  without authority, and delivering change through insight.
• Have experience working with

  Product & Marketing teams

  , particularly on Subscriptions, Engagement, Retention, and Lifecycle strategies.
• Write complex SQL queries in your sleep and use Python when needed for analysis or prototyping.
• Can turn raw data into

  a clear business story

  , and know when to zoom in or zoom out depending on the audience.
• Are self-driven and take initiative

  you don t wait to be told what to do

  .
• Are excited by the idea of being a

  leader without formal reports

  owning a space, not a team