Senior Business Intelligence Engineer

3 Months ago • 3-6 Years • Business Analysis

Job Summary

Job Description

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. 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. Responsibilities include developing, optimizing, and maintaining ETL pipelines using DBT, writing and optimizing complex SQL queries, working with Python for data processing, building and maintaining dashboards and reports using visualization tools, applying data modeling principles, understanding the business domain, collaborating with cross-functional teams, troubleshooting and optimizing data pipelines, and ensuring data quality, governance, and documentation.
Must have:
  • Expertise in SQL and Python
  • Exceptional quantitative and problem-solving skills
  • Proficiency in Tableau, Metabase
  • Data modeling and ETL process knowledge
  • Ability to work with cross-functional teams
  • Strong communication and interpersonal skills
  • 3-6 years of experience in data reporting and analysis
Good to have:
  • Knowledge of statistical and ML techniques (classification, regression, clustering, decision trees)
  • Experience with DBT

Job Details

About ZetaZeta 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. 

About the Role

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.

Responsibilities
  • Develop, optimize, and maintain ETL pipelines using DBT for efficient data transformation and loading.
  • Write and optimize complex SQL queries for data extraction, transformation, and reporting.
  • Work with Python for data processing, automation, and analytical tasks.
  • Build and maintain dashboards and reports using visualization tools like Tableau, Metabase, or similar BI platforms.
  • Apply data modeling principles to ensure efficient storage and retrieval of data.
  • Develop a strong understanding of the business domain, key metrics, and operational processes to drive relevant insights.
  • Collaborate with cross-functional teams (engineering, product, operations) to define and deliver data-driven solutions.
  • Troubleshoot and optimize data pipelines for performance, accuracy, and scalability.
  • Ensure data quality, governance, and documentation for all BI solutions. of solutions, actively participating in discussions related to product and feature development

Skills
  • 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.

Experience and Qualifications
  • Bachelor’s/Master’s degree in engineering (computer science, information systems)
  • At least 3-6 years of experience in working on data, especially on reporting, data analysis

Equal Opportunity

Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success.

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