Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Business Intelligence Engineer II @ Zeta

Home > Business Intelligence & Analytics

 Business Intelligence Engineer II

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.
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
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 2-5 years of experience in working on data, especially on reporting, data analysis

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Business Intelligence & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Zeta Inc.
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   Data analysis Data modeling Analytical Market research Business intelligence SQL Python Logistics Core banking

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Business Advisor - A

  • Capgemini
  • 2 - 5 years
  • Hyderabad
  • 2 days ago
₹ Not Disclosed

Business Analyst

  • Accenture
  • 3 - 8 years
  • Hyderabad
  • 5 days ago
₹ Not Disclosed

Business Analyst/ Data Analyst- Liquidity Risk

  • Capgemini
  • 5 - 8 years
  • Bengaluru
  • 8 days ago
₹ 17-22.5 Lacs P.A.

Business Analyst

  • Accenture
  • 6 - 8 years
  • Bengaluru
  • 9 days ago
₹ Not Disclosed

Zeta

Zetais in the business of providing a full-stack, cloud-native, API-first neo-banking platform including a digital core and a payment engine for issuance of credit, debit, and prepaid products that enable legacy banks and new-age fintech institutions to launch modern retail and corporate fintech pro...