About Us:

The Datahut internship program provides fresh grads a hands-on experience working in the data industry. Datahut works on some of the challenging problems in the web data integration industry. We work with some of the largest companies on the planet, helping them get data for their operations. The marketing team at Datahut helps educate decision-makers at large enterprises through our content and creatives. We're inviting graduates with an excellent understanding of programming and data to work on some exciting data problems. If you have good pattern recognition skills and data analysis skills - you're most welcome.
 

Location: Remote
Duration: 6 months
Start Date: 1 may
Application Deadline: 15 april
Type: Paid internship
Timing: 9 AM - 5 PM

Job Description:

As a Data Analyst Intern at Datahut, you will be at the intersection of data and marketing. Your primary responsibilities will involve scraping data from various sources, cleaning and organizing this data, and then visualizing it in a manner that is both insightful and actionable. You will work closely with our data science and marketing team to support ongoing projects and initiatives.

Responsibilities:

1. Develop and implement web scrapers  to gather information from specified sources using Python and libraries such as BeautifulSoup (BS4).
2. Clean and preprocess raw data to ensure its quality and readiness for analysis.
3. Analyze cleaned data to identify patterns, trends, and insights.
4. Create compelling visualizations of the data using Python libraries such as Matplotlib, Seaborn, or similar tools.
5. Collaborate with team members to support data analysis and project objectives.
6. Document all processes and methodologies used in data scraping, cleaning, and visualization.

Qualifications:

1. Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field.
2. Proficient in Python, with hands-on experience using libraries like BeautifulSoup, Pandas, NumPy, and Matplotlib/Seaborn for data scraping, processing, and visualization.
3. Familiarity with web technologies (HTML, CSS) and an understanding of the structure of web pages.
4. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
5. Excellent problem-solving skills and creativity in finding solutions to data-related issues.
6. Ability to work independently as well as part of a team.
7. Effective communication skills, with the ability to present data insights to non-technical team members.

How to Apply:

Submit  a cover letter explaining why you are a good fit for this position, and any relevant work samples or projects (e.g., GitHub repositories, data analysis projects) to ensure that your application highlights your experience with Python and data analysis tools. Include the words ”Data Analytics internship at Datahut” in the title of your cover letter. The applications without this won’t be considered.