Senior Manager, Product Data Analyst

TL;DR

Senior Manager, Product Data Analyst (Product Analytics): Leading and developing a team of analysts to drive strategic decision-making for the core product with an accent on data-driven product performance optimization. Focus on aligning team output with business goals, managing complex cross-functional projects, and empowering product teams through advanced analytical methodologies.

Location: Must be based in the London area (Hybrid)

Company

hirify.global is a global leader in experience intelligence, providing a platform that helps organizations understand customer journeys across digital touchpoints.

What you will do

• Lead and mentor a team of three product analysts, fostering talent development and career growth.
• Partner with the SVP of Product to translate business strategy into actionable data-driven insights.
• Direct complex analytical initiatives involving cross-functional collaboration with engineering, sales, and customer success teams.
• Identify data gaps and implement advanced analytical tools and methodologies to improve product decision-making.
• Establish clear OKRs and ensure high-impact, timely delivery of insights across product lines.
• Advocate for an insights-driven culture by providing training and support to product teams.

Requirements

• Must be based in the London area and able to work in a hybrid model.
• Proven experience in statistical analysis, data modeling, and visualization using tools like SQL, DBT, and Tableau.
• Strong background in managing data analysts, preferably within a product-focused environment.
• Ability to communicate complex data findings effectively to non-technical stakeholders and leadership.
• Experience working in cross-functional teams with product managers, engineers, and designers.
• Degree in business or engineering with a solid foundation in data analysis.

Nice to have

• Prior experience with the hirify.global platform or similar experience analytics tools.
• Knowledge of machine learning concepts and predictive modeling for user behavior.
• Deep understanding of SaaS product metrics and the full product lifecycle.

Culture & Benefits

• Hybrid and flexible work policies.
• Stock options for all full-time employees.
• Generous paid time-off policy.
• Lifestyle allowance and competitive benefits package.
• Opportunities for global collaboration through virtual onboarding, hackathons, and offsite events.
• Active Employee Resource Groups and a local Culture Crew to support team bonding.