As a Lead Analyst at eCarsTrade, you'll play a pivotal role in driving data-informed decision-making processes. Your primary responsibilities include analyzing data, generating actionable insights, and collaborating with cross-functional teams to optimize our platform's performance. Additionally, you'll lead key projects such as "Market Price," which involves modelling the prediction of market price based on properties of the car, historical data and other external data sources.
Responsibilities
1. Conduct data analysis to identify trends, track key performance indicators, and provide recommendations for improvement.
2. Develop predictive models and forecasting algorithms to anticipate market dynamics including "Market Price" project.
3. Hypotheses validation.
4. Develop principles for working with data and manage the architecture of information warehouses.
5. Prepare reports and dashboards to communicate findings to stakeholders.
6. Collaborate with teams to define success metrics and support data-driven initiatives.
7. Perform market research to understand industry trends and competitive landscape.
8. Demonstrate self-sufficiency and the ability to independently look for answers to business questions in data.
Qualifications
1. Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Advanced degree preferred.
2. 4+ years of experience in data analysis, preferably in e-commerce or technology.
3. Proficiency in SQL, Python, or similar languages for data manipulation and analysis.
4. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
5. Strong analytical and problem-solving skills.
6. Excellent communication and presentation skills. English - working proficiency.
7. Nice to have: understanding specifications of cars and how it influences their price
We offer:
* Start-up working environment where creativity and ambition is rewarded
* Unique opportunity for growth
* A competitive salary package with good extra-legal benefits
* Company car (optionally)
* Starting date: as soon as possible