Commercial Data Insights Analyst

TN United Kingdom; Wallingford; On-site; GBP 35,000 - 55,000; Full time

Job summary

An innovative firm is seeking a Commercial Data Insights Analyst to enhance conversion rates and optimize customer experiences. This role involves leveraging data analytics tools like SQL and Google Tag Manager to derive insights that drive business decisions. You will work in a hybrid setting, collaborating closely with teams to understand customer preferences and improve website interactions. This position is perfect for data enthusiasts who thrive in a dynamic environment and are eager to make a significant impact on business outcomes.

Qualifications

• Experience in commercial/retail environments, dealing with profit margins.
• Understanding of A/B testing and MVT platforms is a bonus.

Responsibilities

• Focus on increasing conversion rates and understanding customer preferences.
• Optimize website experiences based on browsing history.

Skills

Google Tag Manager (GTM)

SQL

BigQuery

Insights

Understanding of data layers

Server-side tracking principles

PowerBI

Job description

Commercial Data Insights Analyst, Wallingford

Client: Digital Waffle

Location: Wallingford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: c8fa420ec785

Job Views: 3

Posted: 28.04.2025

Expiry Date: 12.06.2025

Job Description:

Commercial Insights Analyst

Location: Wallingford (Oxfordshire) / Hybrid (Tuesday, Wednesday and Thursday in the office). Only applications from candidates living within a 45-minute commute will be considered.

Skills Required:

• Google Tag Manager (GTM), SQL, BigQuery, Insights
• Understanding of data layers, server-side tracking principles
• PowerBI experience is a bonus

Experience Preferences:

• Experience in commercial/retail environments, dealing with profit margins, customer pricing, etc.
• Experience with A/B testing and MVT platforms is a bonus.

Tasks and Responsibilities:

This role focuses on increasing conversion rates, understanding customer preferences, and optimizing website experiences based on browsing history.

Applying:

If you possess the required skills and experience, please send an up-to-date CV. You will be contacted within 48 hours.