Data Intelligence Analyst-Data Analytics/PowerBI/AI

Remote Full-time
Job Title: IT Configuration Engineer Data Intelligence Analyst

Location: 100% Remote

Duration: 7+ Months with possible extensions

Job Description:

As a Data Intelligence Analyst for the client 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:
• 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.
• Five 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

Keywords:

Education: Master's degree or higher in computer science, Mathematics, Finance, Statistics, Economics or Political Science

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