SERVICE

Business data analysis: from numbers to decisions

I answer specific questions: which products, customers and sales channels actually make money, what caused a change in results, where costs are leaking. You get a report with conclusions and their limitations, not just a set of charts.

Describe your problem See an example

You work directly with me · Warsaw, Poland · working remotely across the EU
Tools: Excel, Power Query, SQL, R

What you get

A report in the agreed format: Excel, PDF or slides
Written conclusions and areas that need a decision
A calculation file that can be updated with new data
An online walkthrough of the results

Typical turnaround: 1⁠–⁠3 weeks
Quote: free, no obligation
Payment: after acceptance on a first order

When I can help

Sales are growing but margin is falling — and nobody knows why.
You don’t know which customers and products really make money and which just add turnover.
Costs are rising faster than revenue, but it’s hard to say where.
You need to compare branches, periods or sales channels on the same basis.
Management needs a reliable reading of the numbers before an important decision.

What you gain

An answer to your question, not another table to interpret yourself.
You know which conclusions are solid and which need caution.
Results you can present to management or your team as they are.
Documented calculations that can be repeated next quarter.

What I do

We pin down the question and the decision it should support.
I prepare and check the data: gaps, duplicates, totals reconciled to the source.
I analyse profitability (products, customers, channels), cost structure and changes over time.
I break a change in results down into drivers: volume, price, sales mix, costs.
I choose charts so that one look is enough to understand the conclusion.
I write the conclusions in plain language, together with the limitations of the analysis.

How I approach it

You can hand me the whole process: from preparing the data, through checked calculations, to a report with conclusions and a walkthrough of the results. I don’t bend conclusions to fit expectations — if the data doesn’t show something, I say so. The final decision is yours, because it needs context the data doesn’t cover; my job is to give you a reliable picture of the numbers and point out where to look closer.

EXAMPLES

An example on fictional data

Client data is confidential, so I show the same kind of work on fictional data. The results are calculated from that data — these are not client projects.

Data analysis · ExcelDemo

Gross margin, € thousand

Chart data

Category	Margin, € thousand	Share
Office supplies	97	30%
Furniture	70	21%
Electronics	56	17%
Lighting	28	9%
Paper	23	7%
Cleaning supplies	17	5%
Packaging	14	4%
Tools	10	3%
Textiles	7	2%
Other	4	1%

Gross margin, € thousand

Chart data

Category	Margin, € thousand	Share
Office supplies	97	30%
Furniture	70	21%
Electronics	56	17%
Lighting	28	9%
Paper	23	7%
Cleaning supplies	17	5%
Packaging	14	4%
Tools	10	3%
Textiles	7	2%
Other	4	1%

Category profitability analysis

Problem: No clear view of which product categories actually drive the margin.
Data: Sales and costs for 10 product categories over 12 months.
Work: Gross margin by category and its share of the company result, Pareto analysis.
Result: Three out of ten categories generate 69% of gross margin (€222,588 of €324,706) — that’s where negotiations and promotions pay off.
Tools: Excel, Power Query

What I need for a quote

The question the analysis should answer and the decision it relates to
A description of the data: sources, key columns, approximate number of rows
The format you need (report, slides, file)
Your deadline and any earlier analyses on the topic

Questions

Does the report include recommendations?

The report contains conclusions drawn from the data and points to areas that need a decision. The final decision stays with you, because it requires context the data doesn’t cover.

What if the data is incomplete?

At the start I check whether the data is enough to answer the question. If it isn’t, I tell you before any paid work begins and suggest what can be done with what you have.

Can the analysis be repeated every month?

Yes. I set up the calculations so they can be refreshed. If the analysis should be recurring, I can also turn it into a report or dashboard.

What happens after the 30 days of support?

After the 30 days I quote small fixes separately, always before starting, or we agree ongoing support. The documentation also lets someone else take the solution over.

How do we work together, and how does billing work?

You describe the problem in a few sentences. Within 1 business day I reply with questions or a proposal, then send a free quote with the scope, timeline and price. I bill through Useme, a Polish freelance platform: you get a VAT invoice, and your payment can be held by Useme until you accept the work. An NDA is available on request.

CONTACT

Tell me what you need.

A few sentences are enough. I’ll reply within 1 business day with questions or a proposed scope, timeline and price.

No files and no tool names needed at this stage.
Scope, timeline and price are agreed before I start.

Prefer to email? hubertsalwa0@gmail.com