Senior Data Analyst
São Paulo, São Paulo, Brazil
Full Time
3 weeks ago
No Sponsorship
Key skills
AWSCloudPySparkPythonSQLMachine LearningData LakeBIPower BIDatabricksData MiningStatistical AnalysisAgileScrumKanbanCommunication
About this role
Role Overview
- Build an integrated customer database and correlate data across the customer journey with Yamaha, delivering Machine Learning solutions for customer clusters with similar behaviors.
- Generate insights to improve customer lifecycle and engagement strategies.
- Define lead strategy and monitor leads, managing internal BI and supporting the dealer network.
- Train and support consultants and the dealer network based on data analyses and results.
- Review messaging, conversion results and ROI, conducting deep analyses and recommending optimal investment approaches.
- Oversee support activities provided by interns.
- Produce local reports and reports for corporate headquarters.
- Perform practical statistical analysis with a solid understanding and application of descriptive analysis, probability, regression, inference, hypothesis testing, optimization models and quantitative methods, aiming to forecast motorcycle demand, estimate price elasticity and make other market-related predictions for the two-wheeler segment.
- Create, train and validate models using Machine Learning techniques and best practices.
- Develop analyses and presentations; deliver ad-hoc analyses using BI tools and notebooks (Databricks).
- Organize materials to generate valuable insights for Marketing regarding communication, marketing strategies, user behavior, forecasts and data products.
- Comply with policies and procedures, meeting the objectives and targets of the Quality Policy (ISO 9001) and the Environmental Management System (ISO 14001).
- Participate in the environmental awareness program and the Environmental Management System in general.
Requirements
- Bachelor’s degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Marketing or related fields (completed)
- Advanced English
- Advanced Power BI
- Advanced Excel
- Advanced Access
- Customer Lifetime Value (CLV/LTV) knowledge
- Experience with AWS cloud; experience with Databricks; knowledge of data lake concepts
- Knowledge of Machine Learning algorithms (classification, regression, clustering, time series, etc.)
- Coding skills in Python, PySpark and SQL
- Experience with data visualization
- Knowledge of data mining techniques
- Experience working with agile methodologies (Scrum, Kanban and/or others)
- Critical and analytical thinking
- Strong data manipulation skills
- Excellent verbal and written communication skills
- Creativity
- and execution-oriented
- Analytical mindset, logical reasoning and problem-solving skills, with a strong ability to manipulate and interpret data, formulate hypotheses and test them quantitatively.
Tech Stack
- AWS
- Cloud
- PySpark
- Python
- SQL
Benefits
- N/A