Data Analyst

The Beauty Tech Group

Manchester

Hybrid

GBP 45,000 - 65,000

Full time

4 days ago

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Benefits offered by this job

25 days holiday

Auto enrolment pension

Work from home Wednesdays

Onsite café, gym and free parking

Staff discounts across brands

Subsidised travel

Cycle to Work

EV/tech schemes

Studies support

Employee Assistance Programme

Career development opportunities

Job summary

The Beauty Tech Group is seeking a data & BI driven analyst to own the daily, weekly and monthly reporting across its brands and territories. You will ensure reconciled numbers, explain movements, and build models from raw data to serve business reporting needs.

You will validate data across commerce, ERP and analytics platforms, investigate root causes, and support system migrations while keeping reporting stable and accurate. A strong UX for self-serve dashboards completes your role.

Qualifications

Experience in a reporting, data quality, BI or analytics role, ideally in beauty, retail, ecommerce or DTC.
Strong Excel or Google Sheets skills, including pivot tables and complex formulas.
Working SQL — comfortable querying a data warehouse to trace a number back to source, joining across tables to find where it broke, and writing the transformation logic on top.
Some exposure to how data moves from a source system into a warehouse (connectors, scheduled loads, layered models).
Comfortable using AI day to day and keen to get better at it — we use it heavily to speed up analysis and automate the repetitive parts of reporting.
Rigorous, with an instinct for when a figure looks off and the patience to trace why — you fix the cause, not the symptom.
A clear communicator, able to explain a data issue and its commercial impact without drowning people in detail.
A self-starter who can hold a BAU reporting calendar together while absorbing ad hoc investigations — migration work tends to land on top of BAU rather than instead of it.

Responsibilities

Own the daily, weekly and monthly reporting cycle across brands, channels and territories — delivered on time, reconciled, with movements explained.
Help get data into the data warehouse and into a usable shape: onboard new sources and connectors, check feeds land as expected, and build the logic that turns raw tables into models the business can report from.
Validate data across our commerce, ERP and analytics platforms, working variances back to root cause and resolving them with the teams who own the source.
Play a hands-on part in system migrations — mapping data between old and new platforms, testing it comes through correctly, running systems in parallel to reconcile, and keeping reporting stable throughout.
Keep the logic behind our measurement and attribution accurate and consistent, from tracking and tagging through to how costs and revenue get assigned.
Maintain and extend our self-serve reporting tools so stakeholders can answer their own questions, acting as first line of support when a number looks wrong.
Document definitions, build automated validation checks, and use AI tooling to take the manual work out of reporting and reconciliation.

Skills

Reporting

Data quality

Excel/Sheets

SQL

Data warehousing

AI tooling

Communication

Self-starter

Tools

Excel

Google Sheets

Job description

You'll make sure the numbers the business runs on are right. Every team here leans on our reporting to make decisions, and this role owns the reliability of it. You'll run the reporting that stakeholders across the business depend on, spot the discrepancies early and get them fixed properly. Good decisions start with data people trust. That applies to every department, so that's where your focus will be.

What you'll be doing

Own the daily, weekly and monthly reporting cycle across brands, channels and territories — delivered on time, reconciled, with movements explained.
Help get data into the data warehouse and into a usable shape: onboard new sources and connectors, check feeds land as expected, and build the logic that turns raw tables into models the business can report from.
Validate data across our commerce, ERP and analytics platforms, working variances back to root cause and resolving them with the teams who own the source.
Play a hands-on part in system migrations — mapping data between old and new platforms, testing it comes through correctly, running systems in parallel to reconcile, and keeping reporting stable throughout.
Keep the logic behind our measurement and attribution accurate and consistent, from tracking and tagging through to how costs and revenue get assigned.
Maintain and extend our self-serve reporting tools so stakeholders can answer their own questions, acting as first line of support when a number looks wrong.
Document definitions, build automated validation checks, and use AI tooling to take the manual work out of reporting and reconciliation.

Skills, knowledge & expertise

Experience in a reporting, data quality, BI or analytics role, ideally in beauty, retail, ecommerce or DTC.
Strong Excel or Google Sheets skills, including pivot tables and complex formulas.
Working SQL — comfortable querying a data warehouse to trace a number back to source, joining across tables to find where it broke, and writing the transformation logic on top.
Some exposure to how data moves from a source system into a warehouse (connectors, scheduled loads, layered models) — you don't need to have owned a pipeline end to end, but you should understand what breaks and why.
Comfortable using AI day to day and keen to get better at it — we use it heavily to speed up analysis and automate the repetitive parts of reporting.
Rigorous, with an instinct for when a figure looks off and the patience to trace why — you fix the cause, not the symptom.
A clear communicator, able to explain a data issue and its commercial impact without drowning people in detail, and happy to chase the people who need to act.
A self-starter who can hold a BAU reporting calendar together while absorbing ad hoc investigations — migration work tends to land on top of BAU rather than instead of it.

Nice to have: exposure to modern data warehouse and BI tooling, and experience of a system migration or re-platform. Willingness to learn matters more than prior exposure.

Why work at The Beauty Tech Group

At The Beauty Tech Group, we're redefining the future of beauty by bringing cutting edge technology into homes around the world. Born from CurrentBody and now home to category leading brands including CurrentBody Skin, ZIIP Beauty, Tria Laser, and CurrentBody Skin: The Clinic, we innovate at pace to create transformative devices and skincare solutions used globally.

Our brands combine clinical credibility with consumer focused design, spanning LED, radio frequency, microcurrent, and laser technologies, and are trusted by customers in over 80 countries.

Working here means building your career in an environment where you're empowered to develop deep expertise, take ownership of your impact and think big as part of a fast growing, ambitious business. We're looking for exceptional people to join us at an exciting stage and help shape the next generation of beauty technology brands.

What's in it for me