About Us:
The Datahut internship program provides fresh grads with 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 organising this data, and then visualising 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:
Develop and implement web scrapers to gather information from specified sources using Python and libraries such as BeautifulSoup (BS4).
Clean and preprocess raw data to ensure its quality and readiness for analysis.
Analyze cleaned data to identify patterns, trends, and insights.
Create compelling visualisations of the data using Python libraries such as Matplotlib, Seaborn, or similar tools.
Collaborate with team members to support data analysis and project objectives.
Document all processes and methodologies used in data scraping, cleaning, and visualisation.
Qualifications:
Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field.
Proficient in Python, with hands-on experience using libraries like BeautifulSoup, Pandas, NumPy, and Matplotlib/Seaborn for data scraping, processing, and visualisation.
Familiarity with web technologies (HTML, CSS) and an understanding of the structure of web pages.
Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent problem-solving skills and creativity in finding solutions to data-related issues.
Ability to work independently as well as part of a team.
Effective communication skills, with the ability to present data insights to non-technical team members.
Who should not apply:
Candidates who are still students and won’t complete their course before May 1st
Candidates who doesn't know python and its common libraries
Candidates who doesn't know how to work with Git
Candidates who doesn't use AI tools like chatgpt and gemini for programming tasks
Candidates who can’t offer a six month commitment
How to Apply:
See the google form link below. Make sure you fill the form along with the application. Via the form, 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.
Google form link: https://forms.gle/vKoCLDxHVzB5kePd7
Note: A Gmail account is required to submit the form.
