Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 6 and day 51.
From 1,834 similar postings that came down. Coming down is not always a hire.
Paris, IDF, FR
Actively hiring, first seen by us 3 days agoSchedule Full time Organization
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and read out geo-incrementality tests on actual sales
Prepare media input data and review MMM outputs from a media standpoint
Translate MMM learnings into budget reallocation recommendations
Own the group media data stack built on Funnel.io and its connectors
Run the media budget forecast process across all Houses, three cycles a year
Design and set up geo-incrementality tests (TBR, Trimmed Match, synthetic control, difference-in-differences)
prepare and provide the media input data, and check its consistency;
Translate MMM learnings into budget reallocation recommendations
Own the group media data stack built on Funnel.io: connectors to platforms, agency and partners, data completeness and access management.
Run the media budget forecast process across all Houses, 3 cycles a year
Minimum 8-10 years in media analytics / marketing measurement
Hands-on experience with Marketing Mix Modeling and geo-incrementality testing
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 6 and day 51.
From 1,834 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
Technical skills Strong SQL; Python or R for analysis and test read-outs. Solid grasp of causal inference and experimental design: power, MDE, test/control design, synthetic control, difference-in-differences.
Solid grasp of causal inference and experimental design: power, MDE, test/control design, synthetic control, difference-in-differences. Working knowledge of GCP (BigQuery), Funnel.io or equivalent, and a BI tool (Looker Studio, Power BI or Tableau). Good knowledge of the ad tech ecosystem: Google Marketing Platform, GTM, server-side tagging, pixels and Conversions APIs, GA4.
Run the media budget forecast process across all Houses, 3 cycles a year: multi-currency, split by market, channel and buying type (agency vs. direct). Maintain the supporting tools (Google Sheets / Apps Script, Excel / Power Automate) and their integration into Funnel. Produce and automate the group media Quarterly Reports.
Complete your application on careers.kering.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Governance postings at the employers we follow are up 170% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Paris, IDF, FR
Working pattern and location restrictions need checking in the full posting.
Why work with us? Kering is committed to diversity and inclusion and to providing equal opportunities in employment. We believe diversity in all its forms – disability, age, color, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, gender identity, religion – enriches the workplace. It opens opportunities for people to express their talent, both individually and collectively and it helps foster our ability to adapt to a changing world. As an Equal Opportunity Employer, we welcome and consider applications from all qualified candidates, regardless of their background. Job Type