Coffeebeans.io - Data Analyst
Coffeebeans.io - Data Analyst
Coffeebeans Consulting4-6 Years
- Posted 2 months ago
- Over 50 applicants have applied
Job Description
Job Title : Data Analyst.
Experience : 4- 6 Years.
Location : Hyderabad.
Work Mode : 5 Days WFO.
Job Summary
We are seeking a highly analytical and data-driven Data Analyst with strong expertise in SQL and modern data platforms. The ideal candidate will be responsible for data analysis, reporting, dashboard development, data modeling, and delivering actionable insights to business stakeholders. The role requires close collaboration with Data Engineering, Product, and Business teams to support strategic decision-making.
Key Responsibilities
Experience : 4- 6 Years.
Location : Hyderabad.
Work Mode : 5 Days WFO.
Job Summary
We are seeking a highly analytical and data-driven Data Analyst with strong expertise in SQL and modern data platforms. The ideal candidate will be responsible for data analysis, reporting, dashboard development, data modeling, and delivering actionable insights to business stakeholders. The role requires close collaboration with Data Engineering, Product, and Business teams to support strategic decision-making.
Key Responsibilities
- Analyze large and complex datasets to generate business insights and recommendations.
- Design, develop, and maintain dashboards and reports.
- Build and optimize SQL queries for analytics and reporting.
- Develop and maintain data models and transformations.
- Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Ensure data accuracy, quality, and consistency across reporting platforms.
- Support real-time and batch analytics initiatives.
- Monitor and improve performance of analytical queries and datasets.
- Expert-level SQL (mandatory).
- Power BI.
- dbt.
- Trino.
- Apache Flink.
- Apache Superset.
- Data Modeling.
- Data Analysis & Reporting.
- Dashboard Development.
- Data Quality & Validation.
- Kafka.
- Python.
- Apache Iceberg or Delta Lake.
- AWS, GCP, or Azure.
- Experience with modern data lake and warehouse architectures.
More Info
Key Skills
Dashboard Development
Data Quality Validation
Apache Superset
Trino
