Mateo
Full Stack Developer
ReactNode.jsPythonTypeScriptNext.jsMongoDBAWSAIAPIs
Shakers for companies
Work with a contract Data Analyst
A certified data analyst who turns your company data into decisions: querying with SQL, replacing the spreadsheets crossed by hand and building the dashboards every team actually opens, in Power BI or Excel.
Senior tech talent for your reporting, starting in days and working on the stack you already have, without growing headcount.
- Certified talent in AI and agent skills
- Meet up to 3 AI Builders in 72 h
- Flexible collaboration models
+600
European clients across different industries
Top 4%
We work with the top 4% of certified talent in our community
72 hours
Meet 3 certified candidates in under 72 h
4.7/5
Our clients' satisfaction on Trustpilot
The talent mix your company needs
At Shakers you will find AI Engineers, Data Analyst and specialists across Tech, Product and Data
Ana
DevOps Engineer
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Lucas
Backend Developer
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Security Engineer
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Data Analyst: what this role brings to your project
A data analyst is who turns a company's data into answers for decision-making: they collect and clean the data, query it with SQL and Excel, cross sources and build the dashboards that communicate what the business should do with each figure.
They analyse what is already being measured, unlike the data engineer who builds the pipelines or the data scientist who trains models to predict. Their delivery is the reliable KPI and the dashboard the business opens every week.
SQLPower BITableauPythondashboardsKPIsdata cleaningA/B testingExceldata visualisationRBigQuery
One provider. One contract. Full traceability
How Shakers works for your company
Post your project
Tell us about the project, its scope, the expertise you need and when you want to get to work.
You get three options
We match your brief against certified talent and introduce the three AI Builders who fit best.
The last word is yours
Meet the three specialists and choose who you collaborate with; we handle the rest.
Why work with Shakers
The advantages of adding this profile with Shakers
Reporting stops being crossed by hand
The spreadsheet crossed every Monday becomes SQL: the calculation is written once and refreshes itself with every new data point.
KPIs with a single definition
Every metric has a documented origin: the query that calculates it and the business rule that defines it, identical across teams.
Dashboards people actually use
Dashboards in Power BI or Tableau designed for whoever decides, with every chart answering a real business question.
Analytics without growing headcount
Analytical capacity by project, no hiring process: certified talent that joins with your current access and systems.
Data arrives clean or gets cleaned
Data cleaning is part of the engagement: duplicates, nulls and cross-system joins resolved before any KPI ships.
Decisions you can trace
From dashboard to boardroom: every figure your analyst presents has query, transformation and refresh date documented.
Frequently asked questions
Any other questions? Our team will answer them.
Tell us your data projectWhat is the difference between a data analyst and a data scientist?
The analyst explains what already happened with the data being measured; the scientist trains models that anticipate what comes. Many projects start with the analyst and grow into the scientist.
How much does a Data Analyst engagement cost?
Scope sets the price: how many sources, how many KPIs and dashboards to maintain, and how complex the data is. The budget closes per project before starting, with no hourly surprises.
What tools does a data analyst use?
SQL to query, Excel and Google Sheets for fast analysis, and Power BI or Tableau to deliver dashboards. Python or R come in when analysis automates or grows statistically.
External analyst or in-house data team?
The external analyst fits when reporting is urgent or the analysis is bounded; the in-house team, when the data flow is continuous. Many start with one analyst by project and decide later.
Can data analysis projects be done remotely?
Almost all of it: data lives in the cloud and working sessions with the team happen remotely. Only the occasional kickoff asks for in-person time.
What does an analyst need to get started?
Read access to the data sources and one session to fix the KPIs and the business questions. With that, the first dashboard with real data is ready in days.
What gets delivered in the first weeks
The first dashboard with real KPIs over your sources, every figure traceable: query, transformation and refresh. Fewer spreadsheets crossed by hand every Monday.
548 live UK vacancies mention data analyst
548 live UK tech vacancies mention data analyst, according to Shakers' market analysis (n=39,811, September 2026). SQL and Excel remain the floor of the trade and Power BI the most present delivery tool.
Where the analyst ends
They do not build the pipeline or the warehouse: they consume them. If your project needs moving and transforming data at scale, the right role is data engineer. If what's missing is predicting, data scientist.
An analyst, not a consultancy
The engagement arrives with the decision your company wants to make and its data. The scope closes before starting and the analytical reasoning is documented with every delivery.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
Data Scientist
Where your analyst finishes explaining what happened, the scientist starts predicting what comes next on the same data.
Data Engineer
Builds the pipelines and the warehouse your analyst consumes: if the data doesn't arrive, no KPI survives.
BI Developer
When reporting needs a system that holds on its own, the BI Developer builds the model and the dashboards.
Backend Developer
Their APIs and databases are the source your analysis drinks from: when clean data must come from development, they solve it.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.
