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Dear Applicant,

Ignite Your Technical Passion and Join Our Dynamic Team!

The data analysis and social media marketing internship is aimed at developing and fostering analytical skills that will enable the intern to perform, evaluate, and present relevant information from both descriptive and predictive statistical analysis. The interns will be analyzing discrete and continuous quantitative social media data by using different techniques, including but not limited to, linear regression, correlations, Bayesian networks, as well as decision trees. Propose an algorithmic framework to use a predictive model based on the previously collected data, capable of estimating the expected performance of our social media accounts and characterizing the previously successful content (posts, reels and stories). 

Based on the analysis, interns are expected to come up with and apply insightful recommendations to our social media accounts, including Facebook, Instagram, X, Linkedin and TikTok. They will then be responsible for creating posts, reels and stories that will foster our social media presence and reach a wider audience, aligning with the overall purpose of our nonprofit organization to preserve and advance Yiddish language and culture within the US and worldwide.

 
Key Responsibilities and Duties

1. Collect, purge, and select the relevant data and variables to perform an analytical summary of our main social media accounts and their historical and current performance, by selecting suitable reach and growth metrics.
2. Propose an algorithmic framework to use a predictive model based on the previously collected data, capable of estimating the expected performance of our social media accounts and characterizing the previously successful content (posts, reels and stories). 
3. Present the relevant data and suggest a set of applicable recommendations for the crafting of high-quality social media content that will align with our overall purpose as a nonprofit organization.
4. Create social media content and implement appropriate performance analysis to evaluate new content and identify areas of improvement. 

 Work Experience & Skills

1. Theoretical and practical experience doing descriptive statistical analysis, including the calculation of measures of central tendency and dispersion, frequency histograms, and basic data visualization.
2. Basic experience with statistical hypothesis testing techniques and standard error calculation and interpretation in the context of an inferential analysis for normally and non-normally distributed data.
3. Familiarity with social media platforms and their analytics platforms, including the Meta Business Suite (MBS) 
4. R programming skills (desired).
5. Ability to work independently with minimal supervision.

 Learning Objectives

1. Interns will gain further experience and skills to perform a predictive statistical analysis on discrete and continuous data, by using existing models and techniques.
2. Interns will foster their critical reading skills of relevant scientific and technical literature, enabling them to choose the optimal model for their data structure and task.
3. Interns will expand their data visualization skills, allowing them to explain the results and outcomes of their analysis to a wide range of audiences, including the general public and key non-profit decision-makers, regardless of their previous technical knowledge.
4. Interns will gain experience in the creation of relevant social media content based on the outcome of their data analysis pipeline.
5. Interns will gain familiarity with secular Jewish culture and the Yiddish language.

Estimated Duration

Full-time: preferably 8, minimum 6-week engagement with a minimum commitment of 40 hours per week.
Part-time: preferably 16, minimum 12 week engagement with a minimum commitment of 20 hours per week.
Longer internships with a less demanding time commitment are available upon request.

If an intern wishes to receive academic credit for the internship, it is their responsibility to check with their academic institution for approval prior to beginning the position.

Some educational institutions require prior approval before the start of an internship. It is the responsibility of the student to check with their institution to be sure they meet any requirements before they accept a position.

How to Apply

To apply for this position, please send a cover letter and resume to Jana Mazurkiewicz Meisarosh at: info@yiddishland.ca. Questions? Please call us at: 619-719-1776.