
Eligibility Criteria
Any graduate or postgraduate (B.Sc, B.Com, BBA, B.Tech, M.Sc, MBA, etc.) with a minimum of 60% aggregate. Candidates from Data Science, Statistics, Computer Science, Economics, Business Analytics or related streams are preferred. No active backlogs are allowed. Freshers with 0β1 year of experience are eligible. Batch year can be 2023β2025.

Job Description & Key Responsibilities
HBSPL (Human Capital Technology) is a fastβgrowing dataβdriven solutions provider headquartered in Bengaluru. The company focuses on delivering analytics, technology, and strategic decisionβmaking support to clients across diverse industries such as finance, retail, healthcare and logistics. With a culture that encourages continuous learning, HBSPL invests heavily in upβskilling its workforce through mentorship programs, handsβon projects and exposure to the latest BI tools. The firmβs vision is to become a trusted partner for businesses seeking actionable insights, and it has built a reputation for innovative problem solving and collaborative teamwork.
The Data Analyst β Fresher role is designed for recent graduates who are eager to start a career in data analytics and business intelligence. As a junior analyst, you will work closely with senior analysts and domain experts to transform raw data into meaningful visualizations and reports that drive strategic decisions. You will be part of a hybrid work model, spending time both in the office and remotely, which offers flexibility while maintaining strong team cohesion. This position provides a solid foundation in data handling, statistical analysis, and dashboard creation, preparing you for rapid growth into senior analytical roles.
Key Responsibilities:
1. Gather, clean, and organize large datasets from multiple internal and external sources.
2. Perform exploratory data analysis to identify trends, patterns, and anomalies.
3. Develop and maintain interactive dashboards using Excel, Power BI or Tableau.
4. Write SQL queries to extract, transform and load data into analytical models.
5. Collaborate with crossβfunctional teams to understand business requirements and translate them into analytical solutions.
6. Prepare concise reports and presentations for senior management and stakeholders.
7. Ensure data accuracy, consistency, and confidentiality throughout the analysis lifecycle.
8. Assist in building predictive models and statistical reports under guidance.
9. Participate in data governance initiatives and documentation of data pipelines.
10. Continuously learn and adopt new analytical tools and techniques.
Tech Stack: MS Excel, SQL, Power BI, Tableau, basic Python/R for statistical tasks, and data visualization best practices. The role offers a clear growth path: junior analyst β analyst β senior analyst β analytics lead, with opportunities to specialize in data engineering or data science based on performance and interest. Joining HBSPL means exposure to realβworld business problems, mentorship from seasoned professionals, and a supportive environment that values curiosity and innovation. The competitive salary range of βΉ3β8 LPA, flexible hybrid work model, and structured training make this an attractive launchpad for a rewarding analytics career.