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Intern, Sales and Marketing Analyst

Research & Development
Full-time
Remote friendly (Waltham, Massachusetts, United States)
Worldwide

Description

Job Description:


We are looking for a Sales and Marketing Analyst Intern to join our team and contribute to our data-driven culture. This internship offers an exciting opportunity to gain hands-on experience in data manipulation and analysis, statistical modeling, and data pipeline development. 


Full time summer internship lasts about 10-12 weeks, beginning in May/June. This will be a hybrid office role based in Waltham, MA.



Responsibilities

Responsibilities:



  • Clean, transform and manipulate data using SQL, Python or R.

  • Conduct exploratory data analysis (EDA) to understand data trends, distributions and potential correlations. 

  • Apply statistical methods, such as T-test and ANCOVA, to analyze and interpret relationships within data.

  • Develop data pipelines to automate data related process.

  • Maintain proper documentation for the data processing workflows, code, statistical methodologies etc. 


 



Qualifications

Basic Qualifications:



  • Pursuing or recently completed bachelor's degree in Computer Science, Data Science, Analytics, Statistics, Mathematics, or a related field. Master's degree preferred. 

  • Proficiency in SQL for data extraction and summarization. Experience working with relational databases preferred.

  • Strong knowledge of Python or R for data processing and analysis, including libraries like Pandas, NumPy, or dplyr. Experience using Dataiku preferred. 

  • Solid understanding of statistical methods and techniques. Knowledge of machine learning or statistical modeling is a plus.

  • Proficiency in Microsoft Office Suite. 


 


Preferred Qualifications/Abilities:



  • Ability to write clean, efficient, and maintainable code with a focus on scalability and performance.

  • Ability to automate repetitive tasks and data pipelines using languages like Python or R, ensuring smooth and error-free execution in analytics environment.

  • Strong quantitative and problem-solving skills.

  • Comfortable with troubleshooting and promptly resolving issues related to data quality, discrepancies, or analysis processes.

  • Highly analytical; always look for new ways to examine data.

  • Strong attention to detail and process to ensure accurate and reliable results.

  • Excellent communication skills, both verbal and written.

  • Ability to work a hybrid schedule in our Waltham office.