Kickstart your career with Fractal Analytics’ Apprentice Program in Bengaluru. Gain hands-on experience in Data Visualization, Data Engineering, or Decision Sciences, while enjoying perks like medical insurance, free meals, and hybrid work mode.
Job Details
| Job Title | Apprentice Program |
|---|---|
| Company | Fractal Analytics |
| Location | Bengaluru |
| Job Type | Full-time (1-year tenure) |
| Posted On | Posted Yesterday |
| Application Deadline | January 9, 2025 (3 days left) |
| Job ID | SR-29143 |
| Education | BCA, MCA, MSc (CS/IT) |
| Year of Passing | 2024 Batch |
| Compensation | Stipend |
About the Role
The Apprentice Program at Fractal Analytics is designed to train fresh graduates and provide exposure to cutting-edge technologies and real-world projects. Apprentices will gain hands-on experience in one of three career tracks: Data Visualization, Data Engineering, or Decision Sciences.
Key Responsibilities by Career Track
1. Data Visualization (Information Architecture)
- Deliver insights and impact through predictive analytics and visual storytelling.
- Design and deploy BI solutions post-training.
- Drive automation and operational efficiency.
- Own end-to-end delivery with rigorous documentation.
2. Data Engineering
- Build data pipelines using cloud-native and open-source stacks (e.g., Python, PySpark).
- Work on real-time and batch-oriented data systems.
- Design solutions leveraging Microservices architecture.
- Develop Lakehouses, Warehouses, and Knowledge Graphs.
3. Decision Sciences
- Collaborate with clients to understand their business needs.
- Solve complex analytical problems using advanced methods.
- Build dashboards and automate marketing campaign tracking.
- Harmonize and model data as per business logic.
Eligibility Criteria
- Education: Open to BCA, MCA, and MSc (CS/IT) candidates.
- Year of Passing: 2024 Batch only.
- Experience: Freshers only; candidates with prior experience are not eligible.
- Note: Not open to B.Tech or M.Tech candidates.
Perks & Benefits
- Medical Insurance: Coverage for self and dependents.
- Free Meals: Complimentary food provided.
- Hybrid Work Mode: Flexibility to work remotely and in-office.
- Stipend: Paid apprenticeship.
- FTE Conversion: Based on performance and availability of roles.
Program Duration
- Tenure: 1 year.
- Note: Conversion to Full-Time Employee (FTE) depends on performance and headcount availability.
Why Join Fractal Analytics?
At Fractal, you’ll work with Fortune 500 clients and be part of a company that values passion, growth, and teamwork. This program offers unmatched exposure to the latest technologies and tools in the analytics industry.
Application Deadline
Submit your application before January 9, 2025. Don’t miss this opportunity to kickstart your career with a globally renowned analytics firm!
This Apprentice program looks like an excellent opportunity for freshers to gain exposure to various career tracks like Data Visualization, Data Engineering, and Decision Sciences. Here’s a step-by-step guide to help you prepare for this application and interview:
1. Understand the Role
The role focuses on providing training and real-world exposure. Each career track demands specific skills:
- Data Visualization: Focuses on storytelling with data and BI tools.
- Data Engineering: Emphasizes data pipelines, cloud technologies, and structured/unstructured data management.
- Decision Sciences: Involves statistical analysis, business insights, and building dashboards for marketing or business needs.
Key Takeaway: Identify the track you are most interested in or align your skills with the one that fits best.
2. Prepare the Required Skills
Based on the program details, here are the skills you should focus on for each track:
For Data Visualization:
- Tools: Tableau, Power BI, or similar BI tools.
- Concepts: Data storytelling, visual design principles, and basic statistics.
- Skills: Writing queries in SQL and scripting in Python or R.
For Data Engineering:
- Programming: Python, PySpark, or any ETL (Extract, Transform, Load) tools.
- Cloud Platforms: Basic knowledge of AWS, Azure, or GCP.
- Concepts: Data pipelines, real-time systems, and databases (SQL, NoSQL).
For Decision Sciences:
- Statistics: Hypothesis testing, regression analysis, clustering, and classification.
- Programming: Python (pandas, NumPy, scikit-learn) or R.
- Tools: Advanced Excel and Google Analytics.
- Business Acumen: Case studies on marketing or data-driven decision-making.
3. Create a Strong Resume
- Highlight your relevant coursework and certifications (e.g., Python, SQL, Data Analytics, or any BI tools).
- Include projects or internships showcasing your work in data-related domains.
- Mention soft skills such as teamwork, problem-solving, and communication.
Example Projects to Mention:
- Built a dashboard in Tableau/Power BI to visualize sales data.
- Designed a Python-based ETL pipeline for structured data.
- Conducted statistical analysis to optimize marketing campaigns.
4. Practice Interview Questions
Prepare for both technical and behavioral rounds. Here are some potential questions:
Technical Questions:
- How would you design a dashboard to track business KPIs?
- Explain how you would build a data pipeline for real-time data processing.
- What is the difference between supervised and unsupervised learning? Provide examples.
- Write a SQL query to fetch the second highest salary from a table.
Behavioral Questions:
- Describe a challenging project you worked on. How did you handle it?
- How do you prioritize tasks when working under a tight deadline?
- Tell us about a time when you worked in a team. What role did you play?
5. Case Studies
Prepare for case study scenarios related to the tracks:
- Data Visualization: Create a mock dashboard to visualize trends like sales or user engagement.
- Data Engineering: Outline the steps to build a pipeline for real-time IoT data.
- Decision Sciences: Analyze a dataset (e.g., marketing or sales data) to provide actionable insights.
Resources:
- Kaggle datasets for practice.
- Sample business case studies for data analysis.
6. Familiarize Yourself with the Company
- Research Fractal Analytics and its contributions to AI, analytics, and decision sciences.
- Understand the company culture and its focus on innovation.
7. Prepare for the Final Step
- Submit your application before January 9, 2025.
- Double-check your resume for relevance to the program.
- Be ready to discuss your enthusiasm for the role and how it aligns with your career goals.
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