POSITION SUMMARY
Breakthrough is seeking a Data Analytics Engineer Intern to join our innovation focused technology team, based in Green Bay, WI.
Data Analytics Engineers sit at the intersection of the skill sets of analysts and data engineers. You will enable a formal and thorough software engineering practice to the enable the work of analysts and data scientists.
This role utilizes your analytical and business-oriented mindset to develop and operationalize data pipelines, making data available for consumption.
Data Analytics Engineers work closely with business customers in the development and maintenance of our new enterprise analytics platform.
You will leverage industry-leading integration and analytics tools to build and manage a modern data management framework that is accurate, reliable, high performing and easily accessible within our products, data science team as well as our citizen analysts in the business units.
The successful candidate will work with the Breakthrough team to learn the processes to retrieve, consolidate, transform and prepare data for analysis and other data integration needs.
JOB RESPONSIBILITIES
Responsibilities Include :
Learn and support how to transform source system data into tested and documented datasets based on business needs.
Build, monitor and maintain reliable data pipelines for highly available reporting or data integrations.
Gain knowledge of and support ongoing architecture, implementation and configuration of data analytics using dbt .
Work closely with the Analytics team to empower visualization tools such as Looker, Data Studio, Tableau or PowerBI .
Streamline and integrate data management and data analytics from end to end .
Contribute to the refinement, development and operationalization of the digital data management and analytics vision and strategy.
Ensure ongoing alignment to data management best practices while developing and implementing data policies, standards, catalogs and critical metrics.
Team Member Characteristics :
Passionate about data engineering and building data driven products.
Strong communication skills to express oneself clearly both verbally and in writing. Persistent, active listening skills.
Proactively communicating work status and blockers
Proactive attitude who works well in a fast-paced team environment.
A critical thinker with good problem-solving skills.
QUALIFICATIONS
Working toward a bachelor's degree or advanced degree in data engineering, computer science, or related field
Understanding of data modeling concepts, SQL and data warehousing.
Understanding the navigation of database models and DBMS's.
Exposure to deployment processes through a CI / CD pipeline
Must have excellent communication skills and can execute alone but is an awesome team player.
Big picture approach a plus - able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based.
In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee.
In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.
Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
Our company is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic.
If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101 .