Grupo Yamaha Brasil

Senior Data Analyst

Grupo Yamaha Brasil

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • Brazil

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Job Level

Senior

Tech Stack

AWSCloudPySparkPythonSQL

About the role

  • 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.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
Machine Learningstatistical analysisdescriptive analysisprobabilityregressioninferencehypothesis testingoptimization modelsPythonSQL
Soft Skills
critical thinkinganalytical thinkingproblem-solvingcreativitycommunicationdata manipulationlogical reasoningexecution-orientedorganizational skillssupport and training
Certifications
Bachelor’s degree in MathematicsBachelor’s degree in StatisticsBachelor’s degree in PhysicsBachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in MarketingISO 9001ISO 14001