Data Analyst

AKS Tech’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your SQL queries, Python data‑manipulation skills, and understanding of visualization tools. The final HR round assesses cultural fit, communication, and salary expectations. Preparing with real‑world case studies and practicing data‑cleaning exercises can give you an edge.

AKS Tech promotes a collaborative and learning‑centric culture where employees are encouraged to share ideas and experiment with new tools. The flat hierarchy ensures quick decision‑making and direct access to senior leadership, fostering rapid career growth. Flexible hours and a work‑from‑home model help maintain a healthy work‑life balance.

Graduates (B.Tech/B.E., B.Sc., B.Com, BCA, MCA) in Computer Science, Information Technology, Electronics, Statistics, Mathematics or related fields; Minimum 60% aggregate (or CGPA 6.0/10); Batch 2025 or 2026; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

Round 1: Online aptitude test (logical reasoning, quantitative & verbal) → Round 2: Technical interview (SQL, Python, data‑visualisation concepts) → Round 3: HR interview (fit, communication, salary expectations)

AKS Tech is a fast‑growing technology solutions provider based in Bangalore. The firm specializes in building data‑driven products for e‑commerce, fintech, and logistics clients, helping them make smarter, faster decisions. With a flat hierarchy and an open‑door policy, AKS Tech encourages fresh talent to experiment with emerging analytics tools while working on real‑world business problems. The company invests heavily in upskilling its workforce through internal workshops, certifications, and mentorship programs, creating a vibrant learning environment for recent graduates. As a Data Analyst (fresher) at AKS Tech, you will be part of a collaborative analytics team that partners with product managers, engineers, and senior analysts. Your primary mission will be to turn raw data into actionable insights that drive product and business strategy. You will get hands‑on exposure to the entire analytics pipeline – from data extraction and cleaning to building interactive dashboards and supporting predictive modelling efforts. The role offers a balanced mix of technical execution and strategic thinking, allowing you to grow into a trusted business partner. Key Responsibilities: 1. Assist in collecting, cleaning, and processing large datasets from internal and external sources. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop interactive dashboards using Tableau or Power BI. 4. Support senior analysts in building predictive models and conducting statistical analyses. 5. Translate business requirements into analytical tasks and deliver concise reports. 6. Document data‑analysis processes, data dictionaries, and methodology for future reference. 7. Participate in team meetings, present findings, and provide progress updates. 8. Conduct quality‑assurance checks on data and analytical outputs to ensure accuracy. 9. Contribute to ad‑hoc data‑related requests and cross‑functional projects. 10. Continuously learn and apply new analytical tools and techniques as project needs evolve. Tech Stack: SQL, Python (pandas, numpy, matplotlib), Excel, Tableau/Power BI, basic statistical packages (R or Python’s statsmodels), Git for version control. Growth Path: Starting as a Junior Data Analyst, high performers can progress to Senior Analyst, then to Analytics Lead or Product Analyst within 2‑3 years, with opportunities to specialize in machine learning, business intelligence, or data engineering. Why Join AKS Tech? The company offers a flexible work‑from‑home environment, competitive salary (₹5.5‑7 LPA), medical insurance, learning allowance, and flexible hours. Freshers receive mentorship from industry veterans, exposure to end‑to‑end analytics pipelines, and a platform to showcase their analytical acumen on real business problems, making it an ideal launchpad for a thriving data career.