Digital Analyst (Product Analytics)

Pontoon Solutions; Greater London; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

Pontoon Solutions is seeking a mid-level Digital Analyst to join our Product Analytics & Experimentation team. The role focuses on using Tableau and SQL to ask the right questions, define objectives and key results, and make product recommendations.

You will own relationships with product managers and UX leads, analyse product releases and hypotheses, and help prioritise initiatives across the lifecycle with data-driven decisions.

Qualifications

• Mid-level Digital Analyst with experience in product analytics.
• Proficiency using Tableau and SQL to drive insights.
• Ability to own relationships with product managers and UX leads.
• University degree or equivalent experience in a quantitative field.

Responsibilities

• Execute end-to-end analysis: gather requirements, define metrics, identify data sources, and deliver insights.
• Conduct deep dive analyses and visualise data to identify optimisation opportunities.
• Support and communicate findings to stakeholders; prioritise initiatives based on data.
• Interpret commercial impact and articulate recommendations using data.
• Collaborate with multi-disciplinary teams across the product lifecycle.

Skills

Verbal communication

Written communication

Collaborative teamwork

Data-driven decision making

Influence without authority

Product analytics experience

Education

University degree 2:1 or higher in a quantitative discipline

Tools

Tableau

SQL

Big data sources

Job description

Hybrid: 3 days per week and you can be based in London or Herts

9 months

In short:

We’re seeking a mid-level Digital Analyst to work within a product team using Tableau and SQL to ask the right questions and record relevant answers. Owning relationships with product managers and UX leads, helping them define objectives and key results, setting targets, analysing product releases, defining and validating hypothesis, and making product recommendations.

In full:

Digital Analyst role in Product Analytics & Experimentation team supporting the Supplier & Partner product Team.

Responsibilities:

• Executing end-to-end analysis: gathering and shaping requirements; defining success metrics; identifying and validating sources of data; identifying and validating methods of analysis; delivering insights and liaising with clients and partners to ensure the best recommendations are identified and delivered.
• Deep dive analysis into key areas of the business
• Supporting, analysing and visualising data to understand areas for optimisation and where to prioritise initiatives
• Demonstrating strong, data-based decision-making skills, especially when multiple trade-offs are involved, and fast decision-making is required.
• Using data from multiple sources to identify trends, exposing new opportunities, and answering business questions.
• Confidently and competently representing the team when needed.
• Understanding the commercial impact of your recommendations and insight.
• Identifying unstructured problems and articulate opportunities to form new analytics project ideas.
• Giving greater context to analyses by incorporating external data for comparison purposes (industry benchmarks)

Skills / experience required:

• Using big data, business intelligence and data visualisation tools (ideally Tableau).
• Advanced data collection from a range of different sources.
• Working effectively with multi-disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
• Excellent verbal and written communication skills – you must be able to articulate complex concepts to a diverse audience.
• The ability to influence without authority.
• Experience in digital analytics positions.
• University degree of 2:1 or higher in a quantitative discipline or relevant experience
• Being a champion of digital analytics tools.

Candidates will ideally show evidence of the above in their CV in order to be considered.

Pontoon is an employment consultancy and operates as an equal opportunities employer.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.