Senior Data Analyst/Engineer - Product Quality Q&CS Goteborg Group Tr
Volvo Business Services AB / Datajobb / Göteborg
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We are looking for a Senior Data Analyst / Data Engineer in Product Quality within Q&CS, Volvo Group Trucks Technology. We have a high focus on Digital Transformation. Important paths in our transformation, is automatizations and upskilling our teams in Data Analytics, Data visualization, Data Storytelling. We are therefore looking for a person with passion for Power Bi and Python. Are you skilled and do you enjoy coaching others to grow?
Product Quality, Quality & Customer Satisfaction organization is part of Volvo Group Trucks Technology. Our teams have the overall responsibility for initiating all short-term quality improvements and influencing long term projects to deliver the right quality level. Our main task is to initiate and drive quality related pre-studies with high speed in the most efficient way to prioritize and secure that our customer's top issues are being solved.
What will you do?
Collect, visualize & analyse data for opportunities / problems defined by the business. You are able to extract and structure data using specialized analytics tools. You build data models and standard reports and tools for a wider user community. You handle effectively interfaces to large amounts of data, create and integrate data structures suitable for analysis and deploy algorithms in performance efficient code.
Key Responsibilities:
Support PQLs using different Analytics tools and reports development to support both Management and PQLs activities (Power BI).
Support PQLs in different areas with data extraction from multiple sources using different tools (SQL, Python, Knime, Databricks).
Support management in creating and implementing the strategy for upskilling PQ Team in Analytics.
Development and participation in projects to deliver (new) Analytics tools.
Active member in the Azure platform test team.
Create analytical hypothesis taking business requirements into consideration with focus in our customers.
Identify opportunities for leveraging data to drive business solution.
Conduct analysis to provide actionable insights, identify trends, and measure performance.
Provide complex analytics output to enable and increase understanding of decision makers.
Apply statistics and mathematics models to understand 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.
Code and program data models and solve wider range of analytics problems
Define standards and frameworks for data analysis.
Setup and enable colleagues to perform self-service reporting and analysis on data analysis platforms.
Core Competencies
Software competencies:
Data related: Power BI / DAX, SQL, Python / R, Databricks, Knime.
Other SW knowledge would be a plus: REST, JSON, GIT/SVN, Microsoft Azure & Cloud technologies.
Strong knowledge about statistical methods.
Machine learning/ data mining experience.
Data Storytelling.
Data modeling.
Business Intelligence.
Agile way of working.
Business insight / owner's mentality.
Communicates effectively.
Collaborate with others and effective in building networks / teams.
Effectively in priority settings.
Manage Complexity & Ambiguity.
A plus if you have experience of;
Uptime and Product knowledge.
Logged vehicle data knowledge.
Curious and have some questions? Give me a call or meet me over a cup of coffee!
Apply today!! Interviews are conducted continuously, so send us your application today! We're looking forward to receiving and review your application!
Hannah Ahl, Manager Product Quality Complete Vehicle,
hannah.ahl@volvo.comKindly note that due to GDPR, we will not accept applications via mail. Please use our career site.
Så ansöker du Sista dag att ansöka är 2023-07-06
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Volvo Business Services AB (org.nr 556029-5197)
405 08 GÖTEBORG
Arbetsplats Volvo Group
Jobbnummer 7906666
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