Data Validation Analyst (Market Mix Modelling)
(Remote, Renewable Contract)
About Our Client
Our global client builds cutting-edge data analytics applications that provide transformative insights to clients worldwide. Their solutions address the toughest industry challenges while maximizing computational efficiency, running seamlessly both locally and in the cloud, across multi-gigabyte datasets.
Role Overview
Are you an analytical, detail-oriented individual with a background in data validation and market mix modelling? Our client has an exciting opportunity for you!
We’re seeking a Data Validation Analyst to ensure the accuracy and integrity of data used in market mix modelling. You will be responsible for verifying the quality and completeness of data, as well as identifying and correcting errors or inconsistencies.
The ideal candidate will have strong experience with statistical analysis, market mix modelling techniques, and attention to detail. Proficiency in Excel, SQL, Pandas, and data visualization tools is a plus.
Key Requirements
- Strong skills in data cleansing, validation, and charting
- Excellent analytical skills
- Experience in creating professional, client-ready analytics PowerPoint decks
- Proficient English (Reading/Writing/Speaking)
- Soft skills: flexible problem solving, self-motivation, teamwork, excellent communication, conscientious, and a tenacious attitude
- Ability to collaborate, learn quickly, and grasp complex topics
Desirable Skills
- Knowledge of Econometric Modelling, especially Market Mix Modelling (MMM)
- Degree in STEM, Economics, Statistics, or Business Analytics (BSc, MSc, PhD)
- Coding experience in Python and familiarity with programming principles
What We Offer
- Fully remote working
- Friendly, English-speaking international team
- Highly competitive salary
- Excellent opportunities for self-development and mentoring
How to Apply
Please submit your CV and cover letter to cv@datasciencescout.com
Include “Data Validation Analyst (250131)” in the subject line.
Note: Applications without a cover letter will not be considered.
Deadline: 31st January 2025