Data & Analytics Engineer: Cloud Pipelines & Power BI

DataJobs; Waukesha (WI); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

100% tuition reimbursement

401(k) program with company match

3 weeks of paid time off

Job summary

HUSCO International, Inc. in Waukesha, WI is seeking a Data & Analytics Engineer to build and maintain data pipelines, data models, and analytics solutions using modern cloud technologies to support decision-making across operations.

You will develop Power BI reports and dashboards, improve data quality, automate processes, and collaborate with manufacturing, engineering, supply chain, quality, and finance to translate data into actionable insights. Learn and grow within a collaborative team.

Qualifications

• Bachelor’s degree in a relevant field and related internship or co-op experience.
• Experience building data pipelines and analytics solutions.
• Experience with cloud data platforms and reporting tools.

Responsibilities

• Build and maintain data pipelines, data models, and analytics solutions using cloud tech.
• Develop Power BI reports and dashboards to support decisions.
• Collaborate with manufacturing, engineering, supply chain, quality, and finance teams.
• Improve data quality and automate processes for enterprise analytics.

Skills

SQL

Data modeling

Reporting

Collaboration

Co-op/Internship experience

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related field

Tools

Power BI

Python

Tableau

Excel

Microsoft Fabric

Azure Data Factory

Azure Synapse

Databricks

Snowflake

Job description

HUSCO International, Inc. in Waukesha, WI is seeking a Data & Analytics Engineer to build and maintain data pipelines, data models, and analytics solutions using modern cloud technologies to support decision-making across operations.

You will develop Power BI reports and dashboards, improve data quality, automate processes, and collaborate with manufacturing, engineering, supply chain, quality, and finance to translate data into actionable insights. Learn and grow within a collaborative team.