Data Analyst Fresher – Data Analytics

Candidates typically face a three‑stage process: an online aptitude test lasting 30‑45 minutes, followed by a technical interview focusing on SQL queries, data manipulation, and case‑based problem solving. The final HR round assesses communication skills, cultural fit, and career goals. Overall difficulty is moderate, and thorough preparation of basic SQL and data visualization concepts greatly enhances success.

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (SQL queries, data handling, case studies) → Round 3: HR interview (fitment, communication, career aspirations)

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Graduates with a B.Tech/B.E., B.Sc, BCA, MCA or equivalent degree in Computer Science, Information Technology, Statistics, Mathematics, Electronics or related fields. Minimum aggregate of 60% (or CGPA 6.0/10). Must belong to the 2024‑2026 batch. No active backlogs at the time of joining. Candidates should have basic knowledge of SQL and data visualization concepts.

Apex Engineering Solutions is a fast‑growing engineering services firm headquartered in Bengaluru. Established a decade ago, the company specializes in product development, automation, and data‑driven solutions for clients across manufacturing, logistics, and retail sectors. With a strong focus on innovation, Apex has built a culture that encourages continuous learning, cross‑functional collaboration, and the use of cutting‑edge technologies. The firm’s commitment to employee growth is evident through regular skill‑upgradation programs, mentorship from senior engineers, and clear career ladders that reward performance and initiative. The Data Analyst Fresher – Data Analytics role is designed for recent graduates who are eager to translate raw data into actionable business insights. Reporting to the Analytics Lead, the analyst will work closely with product managers, operations teams, and senior leadership to understand data requirements, clean and transform datasets, and build visual dashboards that support decision‑making. This position offers hands‑on exposure to real‑world business problems, allowing the candidate to develop a solid foundation in data analytics while contributing directly to the company’s strategic goals. Key Responsibilities: 1. Collect, clean, and preprocess structured and unstructured data from internal databases and external sources. 2. Perform exploratory data analysis to identify trends, patterns, and anomalies. 3. Develop interactive dashboards and visual reports using tools such as Power BI or Tableau. 4. Write SQL queries to extract, aggregate, and manipulate data for ad‑hoc analysis. 5. Conduct data validation and quality checks to ensure accuracy and reliability. 6. Translate analytical findings into clear, concise business recommendations. 7. Collaborate with cross‑functional teams to define key performance indicators (KPIs) and metrics. 8. Document analytical processes, data dictionaries, and reporting standards. 9. Stay updated with emerging analytics tools and best practices. 10. Assist senior analysts in building predictive models and advanced analytics solutions. Tech Stack: SQL, Python (pandas, numpy), Power BI/Tableau, Excel, basic statistical concepts, Git for version control. Growth Path: Starting as a Junior Analyst, high performers can progress to Data Analyst, Senior Analyst, and eventually Analytics Manager or Business Intelligence Lead within 3‑5 years, with opportunities to specialize in data engineering or data science. Why Join Apex Engineering Solutions? The company offers a vibrant, mentorship‑rich environment, competitive salary (₹5.5–8 LPA), exposure to diverse industry projects, and a clear roadmap for career advancement. Freshers will gain practical experience on live datasets, work alongside seasoned professionals, and be part of a culture that values curiosity and impact.