Data Analyst

Candidates typically face a timed online assessment focusing on SQL queries, data manipulation in Python, and basic aptitude. The technical interview dives deeper into real‑world data scenarios, asking candidates to explain their approach to data cleaning, visualization, and statistical interpretation. The HR round assesses cultural fit, communication skills, and motivation to work in a fast‑growing analytics team. Preparation should include mock SQL queries, Python data‑analysis projects, and reviewing common Tableau/Power BI case studies.

Round 1: Online aptitude & technical test → Round 2: Technical interview (SQL & Python coding, case study) → Round 3: HR interview (fit & cultural assessment)

COMP & BASICS promotes a collaborative environment where ideas are shared openly and employees are encouraged to take ownership of projects. The firm balances high performance expectations with flexible work hours, fostering a healthy work‑life balance and ample growth opportunities.

Graduates (B.Tech/B.E, B.Sc, MCA, or M.Sc) in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields; Minimum 60% aggregate; Batch years 2023‑2025; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

COMP & BASICS is an emerging technology solutions provider headquartered in Coimbatore, known for delivering data‑driven products to a diverse set of clients across retail, manufacturing, and logistics. The company emphasizes a culture of continuous learning, encouraging its engineers and analysts to experiment with the latest tools in the data ecosystem. With a flat hierarchy and open communication channels, employees get direct exposure to senior leadership and can influence product road‑maps early in their careers. The firm also invests heavily in employee upskilling through regular workshops, certifications, and mentorship programs, making it an attractive destination for fresh talent looking to grow quickly. The Data Analyst role at COMP & BASICS is designed for recent graduates or candidates with up to one year of experience who are passionate about turning raw data into actionable insights. As a member of the analytics team, you will collaborate with product managers, engineers, and business stakeholders to understand data requirements, build robust pipelines, and deliver visual stories that drive strategic decisions. The position offers a blend of technical depth—working extensively with MySQL, Python, and advanced Excel—and business acumen through dashboard creation and statistical reporting. Key Responsibilities: 1. Design, write, and optimize complex MySQL queries to support data extraction and reporting needs. 2. Use Python libraries (Pandas, NumPy, Matplotlib) for data cleaning, transformation, and exploratory analysis. 3. Perform advanced Excel modeling, including pivot tables, macros, and statistical functions for quick insights. 4. Conduct statistical analysis to identify trends, correlations, and predictive patterns. 5. Build interactive dashboards and visual reports using Tableau and Power BI for cross‑functional consumption. 6. Partner with product and engineering teams to define data requirements and ensure data quality. 7. Contribute to project planning, timeline estimation, and status reporting using standard project management practices. 8. Proactively identify data gaps or performance bottlenecks and propose data‑driven solutions. 9. Document analytical processes, data dictionaries, and reporting standards for knowledge sharing. 10. Stay updated with emerging analytics tools and best practices, sharing learnings with the team. Tech Stack: MySQL, Python (Pandas, NumPy, Matplotlib), Advanced Excel, Tableau, Power BI, basic statistical packages (R or SciPy), Git for version control, JIRA for project tracking. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, or specialize as a Business Intelligence Engineer. The company also offers pathways into data engineering or product analytics roles, supported by internal training and external certifications. Why Join COMP & BASICS? You will work on real‑world business problems, gain exposure to end‑to‑end analytics workflows, and receive mentorship from seasoned data professionals. The supportive culture, competitive salary range, and clear career progression make it an ideal launchpad for a data‑focused career.