Job Overview:
| Job Role | Business Intelligence Engineer I |
| Job Type | Full Time |
| Experience | Freshers |
| Qualification | B.E/B.Tech/M.E /M.Tech/M.Sc |
| Year of Passing | Recent Batches |
| Salary | 8LPA (Estimated) |
| Job Location | Bangalore |
| Last Date | Apply Before the link Expires |
Zeta Hiring Freshers As Business Intelligence Engineer
About Company :
Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.Our flagship processing platform – Zeta Tachyon – is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1,700+ employees across the US, EMEA, and Asia, with 70%+ roles in R&D. Backed by SoftBank, Mastercard, and other investors, we raised $330M at a $2B valuation in 2025
Official Company Website : www.zeta.com
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Zeta Hiring Freshers As Business Intelligence Engineer Position:
Job Description :
The BI Engineer will be responsible for organizing and reporting data related to sales numbers, market research, logistics, linguistics, or other behaviors. They utilize technical expertise to ensure data reported is accurate and high-quality. Data will need to be analyzed, designed, and presented in a way that assists individuals, business owners and customer stakeholders to make better decisions.
Skills/experience:
- Bachelor’s/Master’s degree in engineering
- In-depth expertise in SQL and Python programming.
- Exceptional quantitative and problem-solving skills
- Good command over analytical and visualization tools like Tableau, Metabase etc.
- Basic Knowledge of Data Modeling, ETL Process, statistical and ML techniques such as classification, linear regression modelling, clustering and decision trees, etc.
- Ability to work with cross-functional and dependent teams, think and own on delivering end to end.
- Excellent problem-solving skills and ability to work independently or as part of a team.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Responsibilities:
- Technical: Building extremely fast, highly current data reporting and analytical systems that will be used by multiple teams to drive decisions utilizing typical components such as ETLs with Python and SQL queries on both SQL and NoSQL databases. Ensure consistent optimization of performance and quality so as to enable faster decision making.
- Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making.
- Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality.
- Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualise, design, and construct data reporting and analytical systems.
- Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights.
- Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development
