Senior Data Insight Analyst

WeAreAspire; Wallingford; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A global online retail company seeks a Senior Data Insight Analyst based in Wallingford, England. In this role, you will analyze large datasets and provide insights to drive business growth, collaborating closely with the marketing team to optimize pricing strategies and enhance customer experiences. This position offers a competitive salary of up to £60,000 with a hybrid working model and opportunities for professional growth.

Benefits

Flexible working hours

Career growth opportunities

Supportive team environment

Qualifications

• 5+ years relevant experience in data analytics.
• Expertise with e-commerce data and analytics platforms.
• Experience in pricing or revenue optimization is a plus.

Responsibilities

• Craft insights from large datasets to boost business growth.
• Collaborate with marketing on performance metrics.
• Create smart pricing strategies to optimize revenue.

Skills

SQL

Power BI

Advanced Excel

Problem Solving

Education

Degree in Maths, Stats or similar

Job description

This range is provided by WeAreAspire. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from WeAreAspire

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Senior Data Insight Analyst
Wallingford, Oxfordshire (3 days/week in office) | Hybrid Working Flexibility
Up to £60,000 | Permanent & Contract options available

Ready to turn data into your playground? If you love digging into huge datasets and crafting clever insights that drive real business growth, this could be your next big move!

We're a global online retail company specialising in books, media, and tech - shipping thousands of orders daily through marketplaces like Amazon and eBay, plus our own growing brands.

What's in it for you?

Work from our Wallingford HQ just 3 days a week - and enjoy flexible hours to help with school runs, avoiding rush hour, or just finding your perfect work rhythm

Competitive salary up to £60,000 with both permanent and contract roles on offer

Be part of a supportive team where your data-driven ideas get noticed and implemented fast

A career path that could take you all the way to executive level as the business grows

Create smart pricing strategies across millions of SKUs to optimise revenue and margins

Collaborate with marketing to set up dashboards and track performance on Google Analytics, Meta Ads, and more

Analyse customer journeys, loyalty programmes, and conversion funnels to boost repeat purchases and lifetime value

Lead A/B testing and multivariate experiments to improve user experience and sales conversions

Own the valuation engine for our re-commerce brand and evolve competitor insight tools to keep us ahead of the game

You are:

Experienced with large data sets and skilled in SQL, Power BI, and advanced Excel (macros & VBA)

Comfortable working with e-commerce data from platforms like Google Analytics and Ads, Meta, Bing, etc.

A confident problem solver with a numerate degree (Maths, Stats, or similar) and 5+ years' experience

Independent, proactive, and able to present insights clearly to senior teams

A great team player who thrives in a collaborative environment

IMPORTANT: Candidates must clearly mention the following in their CV or they will not be considered:

Previous analytical experience, especially in pricing or revenue optimisation roles. Backgrounds in comparison shopping portals, price comparison sites, airlines, car rental, or DTC e-commerce brands are a big plus.

Proven experience working with very large data sets, from ingestion through to analysis.

Familiarity with e-commerce analytics platforms such as Google Analytics, Google Ads, Meta Ads, Bing Ads, etc.

Experience owning projects that lead to real, measurable business changes, with continuous testing and optimisation cycles.

A degree from a good university with at least a 2:1 in Maths, Statistics, or a numerate discipline, alongside strong A Levels.

Minimum of 5 years' relevant work experience.

Advanced numeracy skills (will be tested).

Essential experience with Power BI.

Advanced Excel skills including macros and VBA.

Python experience is an advantage.

Ability to work independently, managing high-level briefs and liaising across departments.

Team player with strong stakeholder management skills.

Ability to deliver quality work within tight deadlines.

If this sounds like your kind of challenge - where your data skills will make a real difference - let's chat!

We Are Aspire Ltd are a Disability Confident Commited employer

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Analyst

• Industries

  Climate Data and Analytics

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