Job Summary
Multiple opportunities are available for candidates interested in Data Analytics, Data Science, Customer Success, Reporting & Analytics, Buying Operations, and Analytics Engineering. The roles include Associate and Analytics, Associate Data Scientist, Customer Success - Apprentice, Analyst, Global Reporting & Analytics Analyst, ML Data Associate I, Associate - Buying Operations, and Analytics Engineer - Analyst.
These positions provide opportunities to work with data analysis, machine learning, reporting, customer operations, digital advertising, procurement, business intelligence, ETL/ELT pipelines, Power BI, SQL, Python, and cloud analytics platforms.
Most of these opportunities are suitable for freshers and early-career professionals with 0–2 years of experience. Candidates should have strong analytical and problem-solving skills, attention to detail, communication abilities, and a willingness to learn modern technologies.
Qualifications
- 0–2 years of experience in data science, analytics, reporting, business intelligence, data engineering, or related areas.
- Strong programming fundamentals with knowledge of Python and SQL.
- Understanding of statistics, probability, data structures, algorithms, and core machine learning concepts is an advantage.
- Strong analytical, critical-thinking, logical reasoning, and problem-solving skills.
- Excellent written and verbal communication skills with the ability to explain information clearly to technical and non-technical stakeholders.
- Academic, internship, personal, or open-source projects involving data analytics, machine learning, reporting, or software development are beneficial.
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Job Details - 1
| Company | Fortive |
| Role | Associate Data Scientist |
| Location | Bengaluru, India |
Job Details - 2
| Company | Azuga |
| Role | Customer Success - Apprentice |
| Location | Bangalore, India |
Job Details - 3
| Company | Maersk |
| Role | Analyst |
| Location | Chennai, India |
Job Details - 4
| Company | LG Ad Solutions |
| Role | Global Reporting & Analytics Analyst |
| Location | Bengaluru, India |
Job Details - 5
| Company | Amazon |
| Role | ML Data Associate I |
| Location | Chennai, India |
Job Details - 6
| Company | Exemplar Luxury Group |
| Role | Associate, Buying Operations |
| Location | Bengaluru, India |
Job Details - 7
| Company | Huron |
| Role | Analytics Engineer |
| Location | Bangalore, India |
Requirements
- Analyze, clean, transform, validate, and prepare data from multiple sources for analytics and reporting.
- Write SQL queries and Python scripts for data preparation, automation, validation, analysis, and reporting.
- Support machine learning and advanced analytics initiatives using tools such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Develop and maintain dashboards and reports using Power BI, Tableau, matplotlib, Plotly, or similar visualization tools.
- Support ETL/ELT pipelines, data models, datasets, semantic models, reconciliation, and data quality checks.
- Assist with customer account management, onboarding, reporting, follow-ups, and coordination with internal teams where required.
- Support buying operations by processing purchase orders, coordinating with vendors, maintaining trackers, and reporting operational metrics.
Benefits
- Hands-on experience with enterprise-scale analytics, data science, machine learning, and AI initiatives.
- Opportunity to work with modern technologies including Python, SQL, Power BI, Databricks, Spark, cloud platforms, and MLOps tools.
- Practical exposure to Generative AI, Large Language Models, advanced analytics, and data-driven business transformation.
- Opportunity to develop skills in ETL/ELT, data modeling, reporting, visualization, dashboards, and business intelligence.
- Experience collaborating with data scientists, business stakeholders, customers, product teams, vendors, and cross-functional teams.
- Mentorship and professional development opportunities while working on real-world business and analytics projects.
- Strong career foundation for future roles in Data Science, Data Analytics, Analytics Engineering, Business Intelligence, Customer Success, Reporting, and Operations.
