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Data Analyst

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

As a Data Analyst, your role will encompass:

Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data

  • Design dashboards for marketing decision-making

  • Extract insights from clients' marketing data sources

  • Help design data architectures and pipelines, from collection to monitoring

  • Collect, process and visualise data in client transformation projects

  • Work with other divisions to deliver comprehensive client services

From the employer’s posting
As a Data Analyst, your role will encompass:
Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
Designing dashboards for marketing decision-making while taking into account the business needs
Extracting valuable insights from our clients’ marketing-related data sources.
Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

What you’ll bring

All qualifications

Core experience

  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • 1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)
  • 1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)
  • 1 web application (R-Shiny, Python Flask) that you have industrialized

Preferred experience

  • Experience in both is preferred but not essential.
Qualification wording
1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
1 or 2 programming languages among SQL, Python and/or R.
1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)
1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)
1 web application (R-Shiny, Python Flask) that you have industrialized
Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.

About Artefact

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations.

In the employer’s words · Read in context

Apply at Artefact

Posting record

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Status in our records
Live
First seen by us
Aug 20, 202677 days ago
Recorded sightings
63
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 77

Up longer than most. Similar jobs usually come down between day 5 and day 41.

Well past Artefact’s usual: its jobs come down by about day 36.

From 11,097 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.

Artefact is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Power BI
  • Tableau
  • Airflow
  • Flask
  • GCP
  • Google Cloud Storage
Where the posting names them
- 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data) - 1 or 2 programming languages among SQL, Python and/or R. - Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.
- 1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…) - 1 web application (R-Shiny, Python Flask) that you have industrialized As a bonus, you have:
- A minimum of 1 year of work experience in a data-driven working environment - 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data) - 1 or 2 programming languages among SQL, Python and/or R.
Ideally, you have the knowledge or take interested in one or more of the following technologies: - 1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS - You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
- 1 or 2 programming languages among SQL, Python and/or R. - Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential. Ideally, you have the knowledge or take interested in one or more of the following technologies:
- 1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…) - 1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…) - 1 web application (R-Shiny, Python Flask) that you have industrialized

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Has Artefact posted this job before?

Yes. We’ve followed one other Data Analyst job there since April 2026. It is still up.

  1. BeirutStill up after 205 days, first seen Apr 15
  2. This jobUp 78 days so far, first seen Aug 20

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

About us:

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

 

About the role:

As a Data Analyst, your role will encompass:

  • Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
  • Extracting valuable insights from our clients’ marketing-related data sources.
  • Designing dashboards for marketing decision-making while taking into account the business needs
  • Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
  • Actively contributing to the expertise level and competencies of the Data & Analytics team
  • Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

 

Qualifications

Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 1 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • Must have extensive experience in either Tableau or Power BI. Experience in both is preferred but not essential.

 

Ideally, you have the knowledge or take interested in one or more of the following technologies:

  • 1 Google Cloud Platform resource (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • 1 advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360…)
  • 1 ETL tool (Airflow, Dataiku, Dataflow, Dataprep…)
  • 1 web application (R-Shiny, Python Flask) that you have industrialized

 

As a bonus, you have:

  • Basic knowledge of statistics
  • Basic knowledge of machine learning and data engineering

 

Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

 

Come join us!

 

Source details

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Location & working pattern

Beirut, Lebanon

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