Outsourced data analyst: a dedicated analyst to turn your data into decisions
Your data is scattered across your CRM, your invoicing tool, your website and your spreadsheets, and nobody has the time to make use of it. MaaSil recruits a data analyst dedicated to your company. They collect and clean your data, build your dashboards and answer your teams' questions, working in your own tools.
What an outsourced data analyst does
They turn your raw data into reliable, useful indicators:
- Data collection: extracting data from your tools (CRM, ERP, e-commerce, marketing).
- Data quality: cleaning, deduplication and consistency checks.
- Modelling: preparing tables and indicators shared by all teams.
- Dashboards: designing and maintaining reports in Power BI, Looker Studio or your BI tool.
- Ad hoc analyses: answering questions from the sales, marketing, finance or operations teams.
- Automation: replacing manual exports and spreadsheets with automated flows.
- Reporting: clear summaries and recommendations for management.
Which companies is this role for?
This role is for SMEs, e-merchants, SaaS publishers and multi-site networks that accumulate data without fully making use of it. It suits companies that still run their business from Excel files, as well as those that already have a BI tool and want a dedicated profile to keep it alive.
Skills and tools mastered
We look for analysts who are as comfortable with the technical side as with business questions, tested on practical cases. Depending on your tools, they master, for example:
- Queries: SQL on PostgreSQL, MySQL, BigQuery or Snowflake.
- Analysis: Python (pandas, Jupyter), advanced Excel and Google Sheets.
- Visualisation: Power BI, Looker Studio, Tableau, Metabase.
- Integration: tools such as Airbyte, Make or dbt.
- Method: defining indicators, documenting sources and AI-based assistants.
Why outsource a data analyst with MaaSil
An analyst who knows your business
Our consultants stay on the same assignment for 3.5 years on average.
A demanding selection process
A battery of tests, practical cases and in-depth interviews, then a final interview with you.
Protected data
GDPR compliance, secure premises and equipment provided by MaaSil.
Little time difference
1 to 2 hours between Madagascar and Paris, so you can talk live with your business teams.
How does the recruitment process work?
- 1
Discovery
We analyze your business, your tools, your processes and the personal qualities you are looking for.
- 2
Search
We select the best profiles after a series of tests and in-depth interviews.
- 3
Final interview
You meet the shortlisted candidates and put them through your usual hiring process.
- 4
Start
The assignment begins with a supervised 2-month trial phase, with full integration into your tools.
Frequently asked questions
Data analyst, data engineer or data scientist: what is the difference?
A data analyst works with existing data to produce indicators, dashboards and analyses. A data engineer builds the data pipelines, and a data scientist develops predictive models. To get started, the data analyst is often the first useful profile.
Can they work with our current tools?
Yes. They connect to your sources and work in your BI tool, Power BI, Looker Studio or another. We look for a profile that already knows your environment.
How is our data protected?
You define their access rights to each source, as you would for an employee. Our talents work in secure premises, on equipment provided by MaaSil, in compliance with the GDPR.
What budget should I plan for an outsourced data analyst?
It depends on the level of experience, the tools to be mastered and the working time. Recruitment, the contract, payroll and equipment are included. Our rate grids are on the Pricing page, and we also draw up quotes.
Do you want to outsource this role?
Tell us about your needs: we will present profiles selected for your company.
Request a quote →