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Currently available for select engagements

Hire Data Analyst for Fashion Brands
Senior, direct, no layers

Hire Data Analyst for Fashion Brands: analysis of sell-through by size and style, returns by reason, and wholesale reorder patterns by season.

1:1
Direct Engagement
Senior
No Handoffs
Scoped
Fixed Scope First
Yours
Data & Accounts Stay Yours
Fashion Brands — Data Analyst

A senior data analyst for fashion brands

A fashion brand is managed on a calendar that never pauses: ranges planned months ahead, sizes and colours ordered before demand is known, and markdowns decided while the season is still running. The brand's records have to keep up with that calendar, and they usually do not. A design can look like a success because it sold through, while the sizes that sold were the popular ones and the rest sits in the warehouse. A wholesale channel can look large while its discounts and returns quietly leave it less profitable than direct sales. A markdown can look like a rescue while it was taken so late that it merely cleared stock that should have been cut earlier.

The analyst work joins the range at design, size and colour level. Sales are split by size and colour within each design, discounts are recorded with their date and depth, and wholesale and direct sales are compared on margin after discounts, returns and delivery. Returns are grouped by reason, with fit returns shown by size, and unsold stock at season end is valued by design, so carryover and clearance decisions rest on the same file.

From that joined range view, the brand can decide which designs to carry over, which to clear, which sizes to cut from the next range, and when markdowns should have been taken. Book a free discovery call to check whether your store, wholesale and stock records can support a size-and-colour view before scoping the work.

What you get

What this engagement covers for fashion brands

This engagement covers the brand's direct, wholesale and stock records as they already exist, and reports sell-through by design, size and colour, with markdowns dated and measured. A design that sold through in popular sizes while the rest sat in the warehouse is judged on that split, not on its headline sell-through rate.

  • Sell-through by size and colour — Sales are shown by size and colour within each design, so a design that sold out in popular sizes but sat in others is judged on its real demand.
  • Markdown timing and depth — Discounts are recorded with their date and depth, showing whether a markdown was early and deep or late and shallow, and what each cost.
  • Wholesale against direct margin — Wholesale and direct sales are compared on margin after discounts, returns and delivery, so a channel that looks large is tested on what it keeps.
  • Returns by fit and reason — Returns are grouped by reason, with fit-related returns shown by size, so a sizing problem is separated from a quality problem.
  • Season carryover and dead stock — Unsold stock at season end is valued and grouped by design, showing which designs should be carried over and which should be cleared.
  • Range and drop planning view — Designs are ranked on sell-through, margin and carryover together, giving the next range decision a single evidence view.
Working with fashion brands

Built for how fashion brands actually operate

Fashion brands typically run a store platform for direct sales, a wholesale order system or spreadsheets for trade accounts, and a stock system for inventory, with size and colour variants that may be coded differently in each. The engagement reads exports from those sources, and the design and variant identifier is agreed before any sell-through figure is produced, because a design in one system and a variant in another are only the same product if the brand can say how they are linked.

Season boundaries need a stated rule: a design that spans two seasons, or a markdown that falls across a season end, must be counted in one season or split by a rule the brand agrees. The report states the rule used, so season figures compare fairly.

How it works

From kickoff to delivery for fashion brands

  1. Join the range at design, size and colour

    Store, wholesale and stock records are matched on a design and variant identifier, with unjoined records counted.

  2. Record markdowns with date and depth

    Each discount is dated and measured, so a markdown is judged on when it was taken and how deep it was, not just on its existence.

  3. Compare channels on margin kept

    Wholesale and direct sales are ranked after discounts, returns and delivery, so a large channel cannot hide behind volume.

  4. Agree the carryover and range actions

    The report ends with carryover, clearance and next-range actions, plus the cleaned design file for the next season.

Outcomes

What success looks like

A fashion brand that completes this work should be able to say, for each design, how it sold by size and colour, what markdowns cost and when they were taken, and what wholesale and direct channels each kept after discounts and returns. Season-end stock becomes a carryover decision with a value attached, rather than a warehouse problem discovered too late.

The work cannot make a design sell or fix a fit problem on its own. It can show which sizes, channels and markdown timings lose money, and which designs deserve another season, so the next range is bought from evidence rather than from last season's bestseller list.

Why Omer

Why hire Omer

  • Designs split by size and colour: A design is judged on its real demand pattern, not on a sell-through rate that hides unsold sizes.
  • Markdowns dated and measured: A markdown is judged on when it was taken and how deep it was, which is when its cost was decided.
  • Channels compared on margin kept: Wholesale and direct sales are ranked after discounts, returns and delivery, not on revenue alone.
  • Fit returns shown by size: A sizing problem is separated from a quality problem, because each needs a different fix.
  • Carryover valued, not just counted: Season-end stock is valued by design, so a carryover decision weighs cash as well as units.
FAQ

Questions, answered

What if our data is messy?
Store, wholesale and stock records are often inconsistent, and the first task is to join them on a design and variant identifier. Records that cannot be joined are counted openly, and the report states which figures they affect.
Do we need new software for this?
Not to start. The engagement works from the exports the store, wholesale and stock systems already produce. New software is worth discussing only after the design, size and colour definitions are stable, because software alone does not fix duplicate variants.
How do you avoid misleading charts?
By showing counts beside rates, by separating full-price from discounted sales, and by labelling any figure whose base is small. A sell-through rate on a design stocked in few sizes is shown with its stock base, so a dramatic percentage cannot mislead a buying decision.
Will you tell us what to do?
Yes, in plain language. Each section ends with the action it supports, such as which designs to carry over, which to clear, and which sizes to cut from the next range, rather than with a chart left for the reader to interpret.
Can the reports be repeated next month?
Yes, provided the design, size, colour and discount definitions are kept stable. The cleaned design file and the definition note are handed over together, so the next season's view can be produced on the same basis and compared fairly.
Currently available for select engagements

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