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Tiger Analytics Engineering Off-Campus – Class of 2025 . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company :
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
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Job Description :
As a Trainee – Analyst, you will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will:
A Trainee Analyst aids senior personnel with data gathering, cleansing, and basic analysis to help make business choices. They compile reports, construct data visualizations, and become proficient in programs such as SQL, Excel, and Python. This entry-level position is ideal for recent graduates with good analytical skills. It focuses on learning and accuracy.
A Trainee Data Analyst is an entry-level position that teaches workers how to collect, handle, and analyze data to support business decisions. They use programs like Excel, SQL, and Python to clean and visualize data.
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Preferred candidate profile
- Proficient in Python, SQL, C, or C++
- Educational Background: BE / B.Tech / M.Tech / M.E / Integrated M.Tech
- Specialization: CS, IT, or Circuit stream is mandatory
- Year of Passing: 2025
- CGPA: 6.5
- No active backlogs
- Immediate Joiners
- Job Location: Chennai
Responsibilities:
- Data Collection & Processing: Gather, clean, and organize data from various sources to ensure data integrity.
- Analytical Support: Assist in statistical analysis and projects under the guidance of senior analysts.
- Reporting & Visualization: Prepare basic reports, dashboards, and presentations using MS Excel, PowerPoint, or Tableau.
- Process Improvement: Identify trends and patterns and suggest improvements to operational efficiency.
- Learning & Development: Actively participate in training sessions to develop technical skills in SQL, Python, or proprietary tools
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