EY Off-Campus Drive 2025 As a Entry-Level Data Analytics Role is designed for individuals passionate about data analytics, Python programming, and business intelligence tools like Power BI. As an entry-level Data Analyst, you will work on analytics projects that help organizations make data-driven decisions. This role is an excellent opportunity for fresh graduates looking for an off-campus placement in Associate Software Engineer . Candidates with B.E./B.Tech. (CS/IT/Circuit Branches) or MCA are encouraged to apply. Check below for eligibility criteria, responsibilities, and the application process, along with resume-building tips. Candidates also apply for HCLTech Off-Campus Drive 2025 Hiring
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Job Description
Company Name :EY Off-Campus Drive
Job Role : Data Analytics – Python Focus
Salary/CTC: ₹4 – 7 LPA (Expected)
Experience : 0 – 2 years
Work Location : Kochi, India
Job Type : Full Time
Qualification : (B.E/B.Tech/MCA)
Batch : Recent Batch
Key Responsibilities
- Design and implement data analytics solutions using Python, with a focus on automation and visualization
- Work on ETL (Extract, Transform, Load) processes, leveraging Python for data manipulation and preparation
- Develop and maintain interactive dashboards and reports in Power BI
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and actionable insights
- Collaborate with cross-functional teams to understand data requirements and build customized analytics solutions
- Ensure data integrity and quality through validation, cleaning, and preprocessing techniques
- Document workflows, processes, and analytics methodologies for knowledge sharing
- Stay updated on emerging trends in data analytics, machine learning, and visualization technologies
- Educate business users on data analytics tools and best practices
- Assist in business development initiatives, including proposal preparation and stakeholder presentations
Education Qualification
- BE/BTech, BSc, MSc, BCA, MCA in Computer Science, Data Science, IT, or related fields
- Minimum 60% aggregate in academics (No active backlogs)
Required Skills
- Strong foundational knowledge of Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn)
- Familiarity with Power BI for data visualization and reporting
- Basic understanding of SQL and relational database concepts
- Analytical mindset with the ability to process, interpret, and present complex data
- Problem-solving skills with a proactive and results-driven approach
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Ability to work independently as well as in a collaborative team environment
Preferred Skills
- Hands-on experience in academic projects or internships involving Python, SQL, or Power BI
- Knowledge of cloud-based data analytics tools (AWS, Azure, Google Cloud)
- Exposure to machine learning concepts and libraries like Scikit-learn
- Experience with data wrangling, cleaning, and preprocessing for analytical purposes
- Understanding of business intelligence strategies and KPI-based reporting
Resume Tips for Role
Technical Skills Section
- Clearly list programming languages (Python, SQL) and tools (Power BI, Tableau)
- Highlight data analytics coursework, projects, or certifications
Internships & Projects
- Mention relevant academic projects, internships, or freelance work in data analytics
- Provide links to GitHub repositories or personal projects
Certifications & Online Courses
- Earn certifications in Python, Power BI, SQL, or data visualization tools
- Coursera, Udemy, or Microsoft-certified Power BI courses can add value
Problem-Solving & Soft Skills
- Showcase analytical thinking and problem-solving abilities
- Include any achievements in hackathons, data competitions, or research work
Tech Mahindra Off-Campus Drive 2025:
How To Apply ?
All interested and eligible candidates can apply for Entry-Level Data Analytics- Python Focus (Staff Level)| Freshers & Experienced| Off-Campus Placement Drive 2025 online by the following link as soon as possible.
- Click on the “Apply Now” button .
- Fill in the required details such as your personal information, education, and work experience.
- Upload your updated resume and complete the application process.
- Get ready for the online assessment & interview.
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