DATA ANALYST (INTERN)

Candidates usually face a three‑stage process: an online aptitude test assessing quantitative and logical reasoning, followed by a technical interview that probes SQL queries, data manipulation in Python, and visualization concepts. The final HR round evaluates communication skills and cultural fit. The difficulty is moderate; thorough preparation of SQL basics and data‑analysis case studies greatly improves chances.

Codec Technologies promotes a collaborative and fast‑paced environment where interns are treated as full team members. Employees enjoy flexible working hours, regular skill‑upgradation sessions, and a strong emphasis on work‑life balance. The company encourages innovation and provides clear growth pathways for high‑performers.

Open to candidates from any discipline and any college who are currently pursuing a bachelor's degree (or have recently graduated) in 2025, 2026 or 2027 batch. Minimum CGPA/percentage of 60% (or equivalent). No active backlogs at the time of joining. Must be available for the full 6‑month duration and possess a genuine interest in data analysis and related tools.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Python, Data Visualization) → Round 3: HR Interview

Codec Technologies is an emerging technology solutions provider that focuses on delivering end‑to‑end software products, data‑driven platforms, and digital transformation services to startups and mid‑size enterprises across India. Founded by a group of engineers with a passion for building scalable products, the company has quickly expanded its footprint to major tech hubs such as Ahmedabad, Bengaluru, Mumbai, Pune and Hyderabad. With a culture that encourages experimentation, continuous learning, and cross‑functional collaboration, Codec Technologies has positioned itself as a launchpad for young talent looking to gain real‑world exposure in the fast‑moving data domain. As a Data Analyst Intern, you will be immersed in live projects that involve extracting insights from large datasets, building dashboards for internal stakeholders, and supporting the product teams with data‑centric decision making. The internship is part‑time, runs for six months, and offers a stipend of ₹18,000 per month along with academic credits approved by AICTE. You will be mentored by senior analysts and will receive a comprehensive learning package that includes e‑books, MERN stack training, and interview preparation material. **Key Responsibilities** 1. Collect, clean, and preprocess raw data from multiple sources (CSV, APIs, databases). 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop and maintain interactive dashboards using Tableau or Power BI. 4. Write SQL queries to retrieve and manipulate data for ad‑hoc reporting. 5. Assist in building predictive models using Python libraries such as pandas, NumPy, and scikit‑learn. 6. Document data pipelines, analysis methodology, and findings in clear reports. 7. Collaborate with product managers and engineers to translate business requirements into analytical solutions. 8. Participate in weekly knowledge‑sharing sessions and contribute to the internal learning repository. 9. Ensure data quality and compliance with company data governance policies. 10. Provide support for any data‑related queries raised by internal teams. **Tech Stack**: SQL, Python (pandas, NumPy, matplotlib), Excel, Tableau/Power BI, Git, JIRA. **Growth Path**: Successful interns can be offered a full‑time Data Analyst or Business Analyst role, with a clear progression to Senior Analyst, Data Scientist, or Product Analyst based on performance and skill acquisition. The company’s mentorship program and exposure to real‑industry projects accelerate career growth. **Why Join Codec Technologies?** The internship promises hands‑on experience on live industry projects, a rich set of learning resources, and direct interaction with seasoned professionals. The stipend, AICTE credits, and a certificate add tangible value to your academic profile, while the vibrant, inclusive work culture ensures you develop both technical and soft skills needed for a thriving career in data analytics.