Data Analyst

Prabal Information Systems; Hyderabad, Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Prabal Information Systems in Hyderabad, India, seeks a data analytics engineer to design and deliver scalable data solutions, dashboards and reporting for finance and operations.

You will build pipelines, validate data across sources, and collaborate to define KPIs and governance, translating business needs into robust data models. Proficiency in SQL, Python, and columnar databases is essential for success.

Qualifications

• Proven experience in SQL-based data analysis and BI reporting.
• Hands-on with columnar databases and modern data warehouses.
• Strong Python analytics and ETL pipeline skills.
• Ability to translate business needs into structured data solutions.

Responsibilities

• Translate business requirements into data models and reporting frameworks.
• Develop reusable analytics pipelines and dashboards for financial and operational metrics.
• Ensure data integrity across sources with validation processes.
• Collaborate with stakeholders to define KPIs and governance.

Skills

SQL querying

ClickHouse

Reporting

Reconciliation

Requirements translation

KPI definition

Data modeling

Python

Dashboarding

API integrations

Data quality

Job description

Key Skills & Responsibilities:

• Advanced SQL querying with expertise in joins, window functions, aggregations, and large-scale data analysis.
• Experience working with ClickHouse or similar columnar databases.
• Building reusable reporting and analytics solutions for financial and operational data.
• Data reconciliation and validation across multiple data sources.
• Translating business requirements into structured data and reporting solutions.
• KPI definition, data modeling, and financial metric governance.
• Python-based analytics engineering and data pipeline support.
• Dashboarding, reporting, and analytics presentation.
• API integrations and analytics data warehouse connectivity.
• Ensuring financial data integrity through validation and quality assurance processes.