Data Analyst internship

About Us:

The Datahut internship program provides fresh grads with handson 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 decisionmakers at large enterprises through our content and creatives.

Were 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 youre 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:

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 visualisations 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 visualisation.

Qualifications:

1. Currently pursuing or completed courses in Computer Science Data Science Statistics or a related field.

2. Proficient in Python with handson experience using libraries like BeautifulSoup Pandas NumPy and Matplotlib/Seaborn for data scraping processing and visualisation.

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 organise analyse and disseminate significant amounts of information with attention to detail and accuracy.

5. Excellent problemsolving skills and creativity in finding solutions to datarelated 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 nontechnical team members.

Who should not apply:

• Candidates who are still students and wont complete their course before May 1st

• Candidates who doesnt know python and its common libraries

• Candidates who doesnt know how to work with Git

• Candidates who doesnt use AI tools like chatgpt and gemini for programming tasks

• Candidates who cant 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 wont be considered.

Google form link:

Note: A Gmail account is required to submit the form.