You are going to work with ournext generation of Quality andWarranty Advanced AnalytcsTools, using a set of aftermarketand vehicle data. Our mainstakeholders belong to VolvoGroup Business Areas and GroupTrucks Technology. We are presentin Brazil, France, and Sweden.
Your mission is to collect, visualizeand analyze data foropportunies/problems definedby the business. Extract andstructure data using specialized analytics tools. Build data models, standard reports, and tools for awider user community.
Create analytical hypothesis taking business requirements into consideration;
Identify opportunities for leveraging companydata to drive business solution;
Conduct analysis toprovide actionable insights, identify trends, and measure performance;
Visualize complex analytics output to enable and increase understanding of decision makers;
Apply statistics and mathematics models tounderstand and solve business problems on data;
Collaborate with model developers to implement and deploy scalable solutions;
Accountable for the analytics quality, analytical leadership of the project team and delivery;
Organize code and manipulate very large complex program datasets for dataexploration/mining/quality purposes;
Setup and enable colleagues to perform self-service reporting and analysis on data analysis platforms;
Short term, you are going to be involved with the migration of SAS reports to other analytic tools.
Proven experience in the role of Data Analyst using Azure Analytcs stack, including Databricks;
Proven experience with visualization tools, especially Power BI;
Ability to manipulate data and draw insight from large datasets using SQL, Spark and Python;
Ability to perform datacleaning for structured and unstructured data;
Experience with developing and implementing databases, datacollection/extraction programs for primary and secondary datasources;
Knowledgeable of machine learning algorithms including linear regression, logistc regression, decision tree, random forest, topicmodel, etc;
Experience working withand creating data architectures;
Knowledgeable about BI standards, rules and tools;
Experience with SAS is a plus.