Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
213
Last seen by us
Nov 5, 2026
Apr 15, 2026today
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 204
541
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 11,161 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.
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
SQL
Power BI
Tableau
Where the posting names them
1. What you will be doing?
As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL for data manipulation and analysis, coupled with leveraging visualization tools such as Tableau, PowerBI, and Web Applications to present insights effectively. Your primary duties include:
Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights. Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.
As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL for data manipulation and analysis, coupled with leveraging visualization tools such as Tableau, PowerBI, and Web Applications to present insights effectively. Your primary duties include:
Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights. Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.
Statistical Understanding: Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately.
Technical Expertise:
- Proficiency in Python, SQL, and data manipulation for analysis purposes.
- Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards.
- Proficiency in Python, SQL, and data manipulation for analysis purposes.
- Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards.
- Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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.
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
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 - Data Analyst Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
1. What you will be doing?
As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL for data manipulation and analysis, coupled with leveraging visualization tools such as Tableau, PowerBI, and Web Applications to present insights effectively. Your primary duties include:
Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights. Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective communication.
Statistical Understanding: Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately.
2. What we are looking for?
Technical Expertise:
Proficiency in Python, SQL, and data manipulation for analysis purposes.
Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards.
Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset.
Attitude & Soft Skills:
Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles.
Adaptability and a start-up mentality to thrive in a dynamic environment.