Staff Applied Data Analyst

KennedyPearce Consulting; Greater London; À distance; GBP 111 000 - 120 000; Plein temps

Résumé du poste

KennedyPearce Consulting is seeking a Staff Applied Analyst to join a global Interactive Media & Entertainment brand on a 6-month, fully remote contract. You will own complex analytical challenges, shaping data usage for strategic decisions across Analytics, Data Science, Product and business teams.

This senior IC role requires leading multi-team projects, mentoring analysts, and delivering rapid prototypes, hypotheses, and data-driven recommendations in ambiguous environments.

Qualifications

• 12+ years' experience across Analytics, Data Science or related field.
• Ability to lead complex analytical projects across multiple teams or domains.
• Excellent knowledge of exploratory analysis, hypothesis development and data-driven decision-making.
• Experience with or strong interest in Generative AI / Agentic AI to improve workflows.

Responsabilités

• Lead complex analytical problem spaces across teams and domains.
• Develop hypotheses and exploratory analyses to identify high-value opportunities.
• Build rapid analytical prototypes and models to assess feasibility and impact.
• Turn datasets and analyses into clear, actionable recommendations.
• Partner with Data Scientists, Product Managers and senior stakeholders.
• Move opportunities from exploration to experimentation and modelling.
• Establish best practices for exploratory analytics and rapid prototyping.
• Mentor other analysts and raise team analytical capabilities.

Connaissances

Exploratory analysis

Hypothesis development

Stakeholder management

Mentoring

Outils

SQL

Python

R

Description du poste

Staff Applied Analyst – Global Interactive Media & Entertainment Brand

6-Month Contract | Fully Remote | Inside IR35 | £600-£650pd

We're partnering with one of the world's most recognised interactive media, entertainment and gaming businesses as they continue to expand their global Data & Analytics capability.

They are looking for an experienced Staff Applied Analyst to join a high-performing global team, taking ownership of complex analytical challenges and helping shape how data is used to support strategic decision-making across the organisation.

This is a senior individual contributor position with significant influence across Analytics, Data Science, Product and wider business teams.

The Role

You'll be responsible for:

• Leading complex and ambiguous analytical problem spaces across multiple teams and business areas
• Developing hypotheses and using exploratory analysis to identify high-value opportunities
• Building rapid analytical prototypes and exploratory models to assess feasibility and potential impact
• Turning complex datasets and analysis into clear, actionable recommendations
• Partnering with Data Scientists, Product Managers and senior business stakeholders
• Helping move analytical opportunities from initial exploration into experimentation and modelling
• Establishing best practices around exploratory analytics, hypothesis development and rapid prototyping
• Mentoring other analysts and improving analytical capabilities across the wider team

What We're Looking For

• 12+ years' experience across Analytics, Data Science or a related field
• Strong experience leading complex analytical projects across multiple teams or domains
• Excellent knowledge of exploratory analysis, hypothesis development and data-driven decision-making
• Advanced experience with SQL, Python, R or similar analytical toolsExperience using or a strong interest in Generative AI / Agentic AI to improve analytical workflows and accelerate insight generation
• Strong stakeholder management skills with the ability to influence senior technical and non-technical audiences
• Ability to operate effectively in highly ambiguous environments

Experience with A/B testing, causal inference, experimentation, forecasting or scenario modelling would be particularly beneficial.

This is a fantastic opportunity to join a globally recognised organisation and work on analytical problems at significant scale and complexity.