Data Quality Specialist
Spotawheel, Greece
Job Description
We are changing the way people buy cars, fixing the largely broken used cars sector.
Spotawheel, an Endeavor company, is a trusted high-tech used cars B2C platform that redesigned the whole buy-sell process from scratch, ensuring value, transparency and customer satisfaction at the highest levels throughout.
Launched in 2015, we are currently incorporated in 3 countries, growing aggressively towards our mission of disrupting the 500 billion European market, having been recognized as the #41 out of 1000 in the Financial Times annual list of Europe’s Fastest Growing Companies.
Unlike traditional used car dealers, we rely on advanced proprietary technology to be much more efficient and effective in the way we work, being able to sustain top vehicle quality and customer experience at large scale.
Our people at Spotawheel are our driving force, trusting them to meet and exceed our customers’ expectations. We invest in our people first and foremost, so that to create a culture of excellence, recognition and ethics that is above all fun to be a part of.
We are currently looking for a Data Quality Specialist to join our Group Business Intelligence Team in Athens.
The Data Quality Specialist will analyze large amounts of raw information to find patterns that will help improve our business. You will play a key role in building data products to extract valuable business insights. In this role, you should be highly analytical with an emphasis on analysis, math and statistics. The ideal candidate should have advanced thinking and problem-solving skills that are essential for interpreting data. We also want to see a passion for machine-learning and research. Ultimately, your goal will be to help our company analyze trends to make better decisions.
If you want to make a difference as part of the most innovative company in the space, this is the right role for you!
Your Key Responsibilities will be to:
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Identify outliers and anomalies in data and develop techniques to address them
Requirements
- Knowledge of programming languages like SQL, BigQuery, Python
- Ability to perform detailed exploratory data analysis
- Experience with machine learning and AI
- Experience with common data science toolkits
- Excellent attention to detail
- Deep functional skills with data quality management (profiling, cleansing, enrichment)
- In-depth knowledge of statistical methods and tests
- Working on Price Prediction projects or Anomaly Detection in Data in the past will be considered a plus
Benefits
- Competitive compensation
- Unlimited support to achieve your personal aspirations
- Daily exposure on top-notch technologies, practices and methodologies
- Values based, fun and fast-paced environment