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.

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.

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.

Python & Automation :

- Use Python for data analysis, exploratory analysis, data manipulation, statistical analysis, and automation.

- Build reusable analytical scripts and automate repetitive reporting and analysis workflows.

Business Intelligence & Visualization :

- Build and maintain dashboards and reports to track business performance and key KPIs.

- Use BI tools such as Power BI, Tableau, or Looker to communicate insights effectively.

- Define meaningful metrics, KPIs, business rules, and measurement frameworks.

Required Skills :

- Strong proficiency in SQL, including complex joins, subqueries, CTEs, window functions, aggregations, and data manipulation.

- Good proficiency in Python for data analysis, automation, and exploratory analysis.

- Strong analytical and problem-solving skills with the ability to structure ambiguous business problems.

- Strong understanding of business metrics, KPIs, and data-driven decision-making.

- Experience with data visualization and dashboarding.

- Ability to communicate complex analytical findings clearly to non-technical stakeholders.