Senior Data Analyst - SQL/Python

SENIOR DATA ANALYSTCompany : Incanus Technologies

Location : Bangalore (On-site)

Experience : 1 - 4 years

About The Role :

Incanus Technologies is looking for a Senior Data Analyst who combines strong analytical thinking with hands-on expertise in SQL, Python, data visualization, and business problem-solving.

The role involves working closely with business, product, operations, finance, and engineering teams to analyze complex business problems, identify meaningful insights, and support data-driven decision-making.

You will work extensively with large and complex datasets, develop analytical frameworks, define and track business metrics, build dashboards and reports, conduct root-cause analysis, and translate data into actionable business recommendations.

This is a highly analytical role for someone who enjoys going beyond reporting to understand why something is happening, identify opportunities, and influence business decisions through data.

**Key Responsibilities :
Data Analysis & Business Problem Solving :**

• Analyze complex business problems using large datasets and identify trends, patterns, anomalies, and opportunities.

• Translate ambiguous business questions into structured analytical problems and define the right approach to solve them.

• Conduct exploratory and diagnostic analysis to understand key business drivers and performance trends.

• Conduct root-cause analysis and identify actionable recommendations for business and operational problems.

• Develop analytical frameworks to support business decisions, planning, and performance improvement.

• Partner with business and product stakeholders to understand objectives, define analytical requirements, and deliver relevant insights.

• Identify opportunities for process improvement, automation, and data-driven decision-making.

SQL & Data :

• Write complex and optimized SQL queries involving joins, subqueries, CTEs, window functions, aggregations, and data transformations.

• Extract, clean, transform, validate, and analyze data from multiple sources.

• Work with large and complex datasets across multiple databases and data sources.

• Perform data validation and reconciliation to ensure accuracy, consistency, and reliability of analysis.

• Understand database structures, relationships, data models, and data flows.

• Identify data quality issues and work with engineering and data teams to resolve them.