Data Engineer - Power BI

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

Data Analysis
Data Visualization
Data Modeling
Data Warehouse
Microsoft Power BI
Microsoft Azure
Snow Flake Schema
Python
R
SQL
Scripting
Teradata
Reporting
Data Migration
Data Mining
Business Intelligence

Job Details

As a Data Intelligence Analyst for the Solventum Data & Analytics team, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

Design, develop, test and publish ad hoc reports on Power BI as requested by the management team and provide analysis of these reports on data visualization tools.Analyze and extract large data sets with multiple data types to identify trends using SQL or scripting languages such as Python or R.

Write queries, create data architectures and prepare data on Snowflake/Teradata for reporting tool ingestion. Use Power Apps and Power Automate to create efficient workflows.

Conduct data reviews for technical gaps and collaborate with Quality Management Systems and IT teams to resolve them.

Collaborate with business and IT Master Data Management teams to ensure tools and data support org requirements.

Work with individuals at the global sites to determine reporting requirements within the scope of the data analytics reporting.

Support training for divisions and functions to ensure proper use of tools and metrics related to Quality Management System, Regulatory and Product Stewardwship teams.

Assist in building predictive and machine learning models to scale AI workflows for stakeholders Assist Data & Analytics team in cloud data migration.

Skills: To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

Bachelor's degree or higher (completed and verified prior to start) in computer science, engineering, statistics, business or finance from an accredited institution

Three years of work experience in data science, business analytics, business intelligence or comparable data intelligence field.

Three years of experience with data visualization tools such as Power BI Proficiency with scaling AI workflows (Decision Trees, Random Forest, XG Boost)

Additional qualifications that could help you succeed even further in this role include:

Master's degree in computer science, Mathematics, Finance or Statistics.

10+ years of experience in a data engineer or Business Intelligence role with a tech company Experience conducting large scale and complex data analysis to support business decision making Three years of experience in data mining and data set preparation using scripting languages.

Proficient understanding of data warehousing and data modeling techniques.

Proficient understanding of azure machine learning models and AI workflows

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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