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    posted 1 april 2026

    reference number
    R-104152

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    job details

    Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

    We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

    At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

    We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

    Key ResponsibilitiesRequirement Definition: Collaborate with PMs/POs to translate product roadmaps into technical data requirements for the engineering team.

    BigQuery & SQL Skills: Query large datasets to identify user behavior trends, perform gap analysis, and validate data integrity.

    Stakeholder Management: Act as the "data translator" between non-technical stakeholders and developers, ensuring everyone is aligned on objectives.

    Strategic Problem Solving: Identify friction points in the user journey and propose data-driven solutions to improve product performance.

    Self-Sufficient Execution: Own the analytical lifecycle from initial discovery and requirements gathering to final documentation and post-launch validation.

    Qualifications & SkillsTechnical Expertise: Proficiency in BigQuery (SQL) is a must. You should be comfortable handling complex joins and nested fields.

    Communication: Exceptional ability to explain technical concepts to non-technical audiences and vice versa.

    Analytical Mindset: Experience in product analytics (e.g., funnel analysis, retention modeling, A/B testing frameworks).

    Independence: A "figure-it-out" attitude. You are comfortable navigating ambiguity and driving projects forward without constant oversight.

    Tools: Familiarity with data visualization tools (Looker preferred) and project management software (Jira/Confluence).

    Interviewers

    Kasey Anderson (PO) and Simon Lash (PM)

    Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.

    ...

    Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.

    We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.

    At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.

    We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.

    Key ResponsibilitiesRequirement Definition: Collaborate with PMs/POs to translate product roadmaps into technical data requirements for the engineering team.

    BigQuery & SQL Skills: Query large datasets to identify user behavior trends, perform gap analysis, and validate data integrity.

    Stakeholder Management: Act as the "data translator" between non-technical stakeholders and developers, ensuring everyone is aligned on objectives.

    Strategic Problem Solving: Identify friction points in the user journey and propose data-driven solutions to improve product performance.

    Self-Sufficient Execution: Own the analytical lifecycle from initial discovery and requirements gathering to final documentation and post-launch validation.

    Qualifications & SkillsTechnical Expertise: Proficiency in BigQuery (SQL) is a must. You should be comfortable handling complex joins and nested fields.

    Communication: Exceptional ability to explain technical concepts to non-technical audiences and vice versa.

    Analytical Mindset: Experience in product analytics (e.g., funnel analysis, retention modeling, A/B testing frameworks).

    Independence: A "figure-it-out" attitude. You are comfortable navigating ambiguity and driving projects forward without constant oversight.

    Tools: Familiarity with data visualization tools (Looker preferred) and project management software (Jira/Confluence).

    Interviewers

    Kasey Anderson (PO) and Simon Lash (PM)

    Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.

    • skills

      Unsupervised Learning
      Supervised Learning
      SQL Databases
      Consulting
      Artificial Intelligence Markup L
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