Business Intelligence Analyst I

Bengaluru

Zeta

Zeta is the world’s first Omni Stack for credit cards. A single stack for Origination, Processing, FRM, Rewards, Loans, APIs, and Apps

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All about Zeta Suite :
Zeta is a Next-Gen Banking Tech company that empowers banks and fintech's 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 experiences.-Native embeddable banking support.-Hyper-Personalization Policy Engine to launch segment-of-one card programs.-Web-based product configurators to launch in days vs. quarters.-Rapid innovation & extensibility via APIs, event streams, and more.-Modern & intuitive web-based back office experiences.-Next-gen regulatory risk & compliance capabilities.
Zeta is actively working with the largest Banks and FinTech's 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
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

  • 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 conceptualize, 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

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.
  • At least 2 years of experience in working on data, especially on reporting, data analysis
  • 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 1 years of experience in working on data, especially on reporting, data analysis

Life At Zeta
At 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Banking Business Intelligence Classification Clustering Computer Science CX Data analysis Engineering ETL FinTech Linguistics Machine Learning Market research Metabase NoSQL Prototyping Python R R&D Research SQL Statistics Tableau

Region: Asia/Pacific
Country: India
Job stats:  12  4  0

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