Lead – Business Intelligence

All about Zeta Suite : 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 Tachyon offers-Rich digital-first cardholder experiencesNative embeddable banking supportHyper-Personalisation Policy Engine to launch segment-of-one card programsWeb-based product configurators to launch in days vs. quartersRapid innovation & extensibility via APIs, event streams, and moreModern & intuitive web-based back office experiencesNext-gen regulatory risk & compliance capabilitiesZeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.Zeta has over 1700+ employees – with over 70% roles in R&D – across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021.Learn more @ www.zeta.tech, careers.zeta.tech, Linkedin, Twitter
About the roleSynapse is Zeta’s digital banking team, building modern consumer experiences for banks and credit unions atop Zeta’s Tachyon. Synapse offers a pre-integrated, fully compliant, out-of-the-box digital experience stack for banks and credit unions.The Lead BI Engineer will be responsible for organising and reporting data related to sales numbers, market research, logistics, linguistics, or other behaviours. They utilise technical expertise to ensure data reported is accurate and high-quality. Data will need to be analysed, designed, and presented in a way that assists individuals, business owners and customer stakeholders to make better decisions.

What would you do here?

• 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.
• Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making.
• Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions.
• 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.
• Understand and manage Data Infrastructure: Lead the design and development of scalable, robust, and efficient data architectures. Oversee the development and maintenance of ETL (Extract, Transform, Load) processes to move and transform data from various sources into data warehouses or other storage solutions. Ensure data quality and integrity throughout the data pipeline.
• Team Leadership: Lead a team of data engineers and data analysts, providing mentorship, guidance, and technical expertise.Coach and manage a team to deliver using Agile processes and ensure high RoI. Participating actively in recruitment and nurturing of engineers as awesome as you.

What are we looking for?

• capable of tackling complex data-driven challenges and formulating effective solutions.
• In essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn, for data manipulation, analysis, and modeling.
• Focus on data analysis, model building, and algorithmic implementation.
• Hadoop or Spark, for handling large-scale data processing and machine learning tasks.
• Designing and implementing robust data architectures that support the organisation’s needs. This includes understanding different database systems, data lakes, and data warehouses.
• Bachelor’s/Master’s degree in engineering (computer science, information systems) with 8+ years of experience in data analytics and data engineering, with a strong focus on data architecture, ETL, and data modeling using tools such as Apache Spark, Trino (formerly Presto), Airflow, DBT, and Python.
• Expertise in programming languages like Python, Java, and Scala, as well as one or more big data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Excellent SQL skills are mandatory.
• Good command over analytical and visualisation tools like Superset, Metabase etc.
• Strong leadership skills and experience mentoring and guiding junior data engineers.
• 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.

Life At ZetaAt Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is ‘People Must Grow.’ We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals. 

#LifeAtZeta is adventurous and exhilarating at the same time. You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself,  Zeta is the place to be!  Explore the life at zeta 
Zeta is an equal opportunity employer.  At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.