About This Job
The company is hiring a Data Analyst Intern for a 1-year full-time role. The main work will be around data analysis, dashboards and writing SQL queries. You will mainly work with Looker Studio, SQL and Python.
As part of the analytics team, you will help turn raw data into useful insights for business decisions. You will also work with other teams to understand what data they need, maintain dashboards and check if there are any data quality issues.
The role is also a good fit for someone who wants to improve their SQL and Python skills through real project work. The company mentions hands-on mentorship from experienced data analysts and engineers and exposure to modern analytics tools and data practices.
Job Overview
Eligibility Criteria
- Candidates with 0-1 years of experience in data analysis, analytics or related work can apply.
- Internship experience, academic projects and personal projects are also considered under the experience requirement.
- You should have a strong foundation in SQL and be comfortable writing complex queries.
- Knowledge of SQL concepts like joins, aggregations and window functions is required.
- Basic knowledge of Python is required, along with an understanding of data manipulation libraries such as Pandas and NumPy.
- Familiarity with data visualisation concepts and tools is expected.
- You should have a problem-solving mindset and be willing to learn new tools and technologies.
- Good communication skills are required, as you will work with both technical and non-technical teams.
Key Responsibilities
- Create and maintain interactive dashboards in Looker Studio for stakeholders.
- Write and optimise SQL queries to extract, transform and aggregate data from databases.
- Work with cross-functional teams to understand their data requirements and provide useful insights.
- Find data quality issues and work on solutions to fix them.
- Document data processes, SQL queries and dashboard logic so the team can refer to them later.
- Use data to help the analytics team turn information into actionable insights for business decisions.
Skills Required
- SQL: Strong foundation in SQL with the ability to write complex queries using joins, aggregations and window functions.
- Python: Basic Python knowledge with an understanding of data manipulation libraries such as Pandas and NumPy.
- Looker Studio: Familiarity with data visualisation and dashboarding tools. The role mainly involves creating and maintaining dashboards in Looker Studio.
- Data Analysis: Ability to work with data and turn it into useful insights for business decisions.
- Data Visualisation: Basic understanding of how data can be presented through dashboards, charts and reports.
- Problem Solving: A problem-solving mindset and willingness to work through data-related issues.
- Communication: Good communication skills for working with both technical and non-technical teams.
- Teamwork: Ability to work with cross-functional teams and understand their data requirements.
- Learning: Willingness to learn new tools and technologies as required.
Skills to Add in Resume
If you have actually worked with these skills through projects, internships, coursework or previous work, you can mention the relevant ones in your resume:
SQL
Advanced SQL
Joins
Aggregations
Window Functions
Python
Pandas
NumPy
Looker Studio
Data Analysis
Data Visualisation
Dashboard Development
Data Transformation
Data Quality
Reporting
Problem Solving
Cross-functional Collaboration
Note: Only add skills that you actually know or have used in your projects, internship or work. Don't add a keyword just because it appears in the job description.
Benefits
- Hands-on Mentorship: Work alongside experienced data analysts and engineers and get practical guidance while working on projects.
- Real Project Experience: Work on dashboards and reports that are used for actual business requirements.
- SQL & Python Practice: Improve your SQL and Python skills by working on real-world data challenges.
- Modern Analytics Exposure: Get exposure to modern analytics tools, data practices and scalable solutions.
- Team Collaboration: Work with both technical and non-technical teams and understand how data requirements are handled in a real work environment.
- Career Growth: The role gives you a chance to build practical experience if you want to start a career in data analytics.
Note: The job description does not mention specific employee benefits such as insurance, paid leave or other perks. The points above are based only on the benefits and learning opportunities mentioned in the job details.
Why Apply?
- If you want to get into data analytics, this role gives you hands-on work instead of only theoretical learning.
- You will work with SQL, Python and Looker Studio, which are the main technical areas mentioned for the role.
- You will get to build dashboards and reports that support real business decisions.
- You can improve your SQL through practical work with joins, aggregations and window functions.
- You will also get experience with Python libraries such as Pandas and NumPy.
- You will work with experienced analysts and engineers, so there is an opportunity to learn directly while working on projects.
- The role also gives you experience in data quality, documentation and working with different teams.
- The company mentions exposure to modern analytics technology and scalable data solutions.
- The role is for 1 year, giving you a longer period to build practical analytics experience.
How to Apply
01
Open the Official Job Application
Click the Apply Now button below to open the official application page for the Data Analyst - Intern position.
02
Check the Job Requirements
Before applying, check the eligibility and make sure your experience and skills match the requirements mentioned for the Data Analyst - Intern role.
03
Complete the Online Application
Enter your personal, educational and professional details as required. Make sure the information you provide is correct before moving ahead.
04
Upload Your ATS-Friendly Resume
Upload your latest resume and highlight relevant experience or projects in SQL, Python, Pandas, NumPy, Looker Studio, data analysis and data visualisation. Only mention skills you actually know or have worked with.
05
Submit Your Application
Review your details and resume once before submitting the application. After applying, keep checking your registered email or the application portal for any further updates.
Resume Tip
Tailor your resume by highlighting SQL, Python, Pandas, NumPy, Looker Studio, Data Analysis, Data Visualisation, Dashboard Development, Data Transformation, Data Quality, Reporting, Problem Solving, and Cross-functional Collaboration if you have relevant experience with them. Also mention data analytics projects, internships, academic projects or personal projects where you have used these skills.
Before You Apply
- Make sure you have 0-1 years of experience in data analysis, analytics or a related area. Internships, academic projects and personal projects are also considered.
- Check that you are comfortable with SQL, especially joins, aggregations and window functions.
- Basic knowledge of Python, Pandas and NumPy is required for the role.
- Having familiarity with data visualisation and Looker Studio will be useful for the dashboarding work.
- Keep an updated resume ready and mention relevant data analysis projects, internships or personal projects.
- Only add skills to your resume that you actually know or have used.
- The job details mention a 1-year full-time role. Salary or stipend information is Not Mentioned.
- The provided job details do not mention a specific application deadline.