Intern, Data Analysis at Martin Marietta Materials

Posted in Other 5 days ago.

Location: Raleigh, North Carolina





Job Description:

Company Overview:



Martin Marietta, a member of the S&P 500 Index, employs more than 8,500 employees at operations spanning 27 states, Canada and the Bahamas. A leading supplier of aggregates and heavy building materials, dedicated teams at Martin Marietta supply the resources for the roads, sidewalks and foundations on which we live.


At Martin Marietta, we are always looking for the best and the brightest, for people who have the potential to be the Company's future leaders. We are building on our foundation of success by selecting the finest people and helping them realize their potential. When you decide to build your career at Martin Marietta, you'll know what it's like to be respected, challenged and rewarded.



About the Program:



The Martin Marietta Internship is an investment in you. It is our way of identifying and developing the very best people and it is your portal to a challenging and rewarding career. When you join our team, you bring to the table your unique talents along with shared values of excellence and integrity. Many of our most valuable company leaders began their careers as interns.


As a Data Analyst (Intern) you will be responsible for the development, maintenance, and support of advanced analytical solutions on the Business Intelligence and Analytics team.



Responsibilities:



  • Assist in developing recommendations for AI use cases or proofs of concept designs.

  • Conduct exploration, data extraction, cleansing and standardizing, classification, consumption, and data wrangling to identify trends or correlations in the company's data.

  • Support and maintain existing BI and ETL solutions, validation processes, and visualizations.




Qualifications (required):



  • Currently enrolled in Bachelor or Master of Science degree in Mathematics, Statistics, Data Science, or other quantitative fields

  • Proficiency in R or Python programming languages

  • Ability to work collaboratively in a team environment

  • Experience with any of the following BI tools: Alteryx, Cognos, Power BI, or Tableau

  • Effective verbal, written and interpersonal communication



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