Product Analyst

Global; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Global in London is seeking a detail-oriented Product Analyst to transform data into actionable insights, guiding product decisions and strategy within the DAX product landscape.

You will collaborate with Product Owners, Engineers, and commercial stakeholders to uncover trends, build dashboards, and deliver evidence-based recommendations that shape discovery, prioritisation, and OKRs. This role emphasizes data-driven decision making in a fast-paced environment.

Qualifications

• 3+ years experience in a Product Analyst or data role.
• Experience partnering with product, engineering or delivery teams.
• Ability to translate problems into analysis and insights.
• Experience with large datasets in a commercial setting.
• Strong SQL skills and data querying abilities.
• Experience building dashboards for stakeholders.

Responsibilities

• Product-led data discovery and insight generation across DAX squads to uncover trends and inform decisions.
• Analytical solution design by building dashboards and analytical outputs for discovery, troubleshooting, and performance monitoring.
• Support product strategy and OKRs with data benchmarks and evidence-based recommendations across squads.

Skills

SQL

Data analysis

Analytical mindset

Stakeholder management

Tools

Tableau

Power BI

Job description

Accepting Applications Until 27 November 2026

Job Description

Job Title: Product Analyst

Your new role

We’re looking for a commercially minded Product Analyst with experience in product analytics, data analysis, or a similar insight‑led role, ideally gained in a fast‑paced, data‑driven business.

As a Product Analyst in Global’s DAX Product team, you’ll help squads make better product decisions through data discovery, insight generation, requirements gathering, and structured analytical problem‑solving. You’ll report to the Product Lead and work closely with the Senior Product Owner in the DAX Data Engineering squad, alongside other Product Owners, Engineers, Operations, and commercial stakeholders across DAX.

This is not a purely reporting‑led role. You’ll turn ambiguous questions into clear analysis, investigate trends and anomalies in product, operational, and commercial data, and provide evidence‑based recommendations that inform product discovery, prioritisation, strategy, and OKRs.

It’s a great opportunity for someone who is naturally curious, commercially aware, and excited by using data to influence product direction across a complex and evolving ad‑tech landscape.

Key Responsibilities

Product‑led data discovery and insight generation (50%)

You will work across DAX squads to investigate product, operational, and commercial data in order to uncover insights, identify trends, and support decision‑making. You’ll help teams answer key questions through structured analysis, benchmarking, and exploratory data work, including investigating anomalies and patterns in DAX data such as spotting trends, delivery behaviours, or product performance shifts.

Analytical solution design (25%)

You will partner with Product Owners, Engineers, and Stakeholders to understand business needs to then build dashboards or analytical outputs that support product discovery, trouble‑shooting, prioritisation, and ongoing performance monitoring.

Supporting product strategy, OKRs, and continuous improvement (25%)

You will contribute to OKR setting and product planning by providing robust data, benchmarks, and performance insights. You’ll support squads in measuring success, understanding opportunities, and improving how they use data in decision‑making. You’ll also help improve analytical ways of working, data quality awareness, and reporting consistency across the DAX product organisation.

What You’ll Love About This Role

Think Big: Help shape how data informs product thinking across DAX, bringing a strategic mindset to product discovery and decision‑making.

Own It: Take responsibility for turning ambiguous questions into clear analysis, actionable insight, and meaningful recommendations.

Keep it Simple: Use data to cut through complexity, focusing on the metrics and insights that matter most.

Better Together: Collaborate across squads, disciplines, and stakeholders to help build a stronger, more insight‑led product organisation.

What Success Looks Like

In your first few months, you’ll have:

• Built a strong understanding of the DAX product landscape, including how different squads operate and where data can most effectively support product discovery and decision‑making
• Developed a good working relationships across the DAX technology teams (e.g. engineers, product owners, design, etc.) and key stakeholders outside technology
• Become familiar with the main datasets, dashboards, workflows, and systems used across the DAX environment
• Supported product squads by investigating questions, identifying data trends or anomalies, and turning findings into clear recommendations / actionable insights
• Contributed to requirements gathering for analytical work and helped shape dashboards, reporting, or exploratory analysis that supports squad priorities
• Added value to OKR discussions and benchmarking exercises through thoughtful analysis and evidence‑based input

What You’ll Need

• 3+ years experience in a Product Analyst, Data Analyst, or similar analytical role
• Experience working closely with product, engineering, or delivery teams to support discovery, prioritisation, and product decision‑making
• Demonstrated ability to take work from problem definition and requirements gathering through to analysis, insight, and presentation
• Strong experience working with large and complex datasets in a commercial environment
• Strong SQL skills and confidence querying, validating, and exploring data independently
• . Experience with dash boarding and visualisation tools such as Tableau, Power BI, or similar
• Experience building clear, useful dashboards and reporting to support business and product stakeholders
• A strong analytical mindset, with the curiosity to investigate trends, spot anomalies, and ask the right questions
• The ability to translate complex findings into simple, compelling narratives and recommendations for non‑technical audiences
• Excellent stakeholder management and collaboration skills, with the ability to work effectively across multiple squads and functions
• Strong attention to detail and a structured approach to problem solving