Data Intelligence Analyst-Data Analytics/PowerBI/AI
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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