
Eligibility Criteria
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 2024β2026 batch. No active backlogs at the time of joining. Candidates should have basic knowledge of SQL and data visualization concepts.

Job Description & Key Responsibilities
Apex Engineering Solutions is a fastβgrowing engineering services firm headquartered in Bengaluru. Established a decade ago, the company specializes in product development, automation, and dataβdriven solutions for clients across manufacturing, logistics, and retail sectors. With a strong focus on innovation, Apex has built a culture that encourages continuous learning, crossβfunctional collaboration, and the use of cuttingβedge technologies. The firmβs commitment to employee growth is evident through regular skillβupgradation programs, mentorship from senior engineers, and clear career ladders that reward performance and initiative.
The Data Analyst Fresher β 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 decisionβmaking. This position offers handsβon exposure to realβworld business problems, allowing the candidate to develop a solid foundation in data analytics while contributing directly to the companyβs 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 adβhoc 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 crossβfunctional 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 3β5 years, with opportunities to specialize in data engineering or data science.
Why Join Apex Engineering Solutions? The company offers a vibrant, mentorshipβrich environment, competitive salary (βΉ5.5β8 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.