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ID #12087958
State Minnesota
City Edenprairie
Job type Permanent
Salary USD Depends on Experience Depends on Experience
Source Winnebago Industries
Showed 2021-04-10
Date 2021-03-18
Deadline 2021-05-17
Category Education/teaching
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Data Engineer, Business Intelligence

Minnesota, Edenprairie, 55344 Edenprairie USA

Vacancy expired!

At Winnebago Industries we help our customers explore the outdoor lifestyle, enabling extraordinary mobile experiences as they travel, live, work and play.We’re looking for people who are as passionate about their work as they are about the outdoors. We seek fresh minds and skilled hands that can bring new perspectives, ways of working and technology to deliver exceptional experiences. We do this best when we allow ourselves the time to enjoy the environment — so we seek to keep a healthy balance between work and play.Be part of a team that treats each other with the respect, trust and humility needed to create extraordinary outdoor experiences for our customers.

Winnebago is looking for individuals to join our Business Intelligence group. We help uncover tomorrow’s opportunities and create actionable analytics, comprehensive views of the data, and thoughtful visualizations to enable business partners take action.

As our Data Engineer you will support our business partners in sales, operations, marketing, finance, and others by using a variety of internal and external information sources and solve business needs. You will need to bring the right blend of analytical expertise, SQL skills, Microsoft BI experience, and communication acumen.

Key Areas of Responsibility
  • Develop BI Solutions in the Microsoft stack
  • Work with business stakeholders and IT partners to define projects for delivering BI capabilities. Provide technical and execution leadership to design solutions and successfully deliver projects within time, cost, and scope expectations.
  • Demonstrate experience and leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, data discovery, statistical methods, and database design
  • Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
  • Ensure solutions are architected to support proper data capture and processing
  • Translate business objectives into requirements to facilitate information solutions
  • Responsible for introducing and following best practices
  • Identify and escalate issues and risks early to minimize impact to business
  • Proactively identify opportunities to improve current digital solutions or processes
  • Contribute to creation of processes that improve data quality
  • Draw conclusions and effectively communicate findings with both technical and non-technical team members

Critical Competencies
  • Strong analytical skills focusing on market and operational data analytics
  • Strong results orientation. Ability to lead and motivate a team to deliver to expectations
  • Ability to communicate and interact with business partners and collaboratively define solutions to address key opportunities
  • Ability to take initiative and work independently with minimal supervision
  • Demonstrate the ability to serve as a strong team member with solid communication skills and the ability to handle multiple priorities in a fast-paced, growth environment

Required Education and Experience
  • Bachelor’s degree in Business, Information Technology or related field
  • 6+ years of IT experience
  • 2+ years experience with Dimensional Modeling & Cloud Databases
  • Experience with Visualization tools (Power BI, SSRS, R, Python, other analytics solutions)

Preferred Qualifications
  • Strongly preferred - an understanding of IoT platforms and the ability to show the value of the data
  • An understanding of Big Data platforms
  • Data Integration experience including moving data efficiently from On-Premise to the Cloud, leveraging tools like Informatica Cloud Services, SSIS, or Azure Data Factory
  • Experience with Streaming Analytics – Azure Stream Analytics
  • Experience with Machine Learning

Vacancy expired!

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