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Business Intelligence Engineer II
Zeta
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
-Rich digital-first cardholder experiences.
-Native embeddable banking support.
-Hyper-Personalisation 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.
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 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
- bachelors/masters 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
Employment Type: Full Time, Permanent
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People are getting interviews at Zeta through
People are getting interviews through
(based on 41 Zeta interviews)
Job Portal
Referral
Company Website
Campus Placement
Walkin
29%
27%
17%
10%
2%
15% candidates got the interview through other sources.
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Confidence
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High Confidence means the data is based on a large number of responses received from the candidates.
What people at Zeta are saying
Business Intelligence Engineer 2 salary at Zeta
reported by
2
employees
with 3-4
years exp.
₹14.4
L/yr - ₹18.4
L/yr
51%
less
than the average Business Intelligence Engineer 2 Salary in India
View more details
What Zeta employees are saying about work life
based on 242 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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560008
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