Senior Data Analyst

Sagous; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

SAGOUS Software and Services Pvt Ltd in Chennai is seeking a Senior Data Analyst / BI Analyst to translate business needs into analytical solutions and deliver data-driven insights. You will perform exploratory data analysis, build scalable BI dashboards using Power BI and Tableau, and use SQL, Python, and Excel to validate data and support decision making.

Collaborate with business and tech teams to improve reporting and analytics.

Qualifications

• 8+ years of professional experience; 4+ years in Data Analytics/BI
• Strong hands-on with SQL and data analysis
• Advanced skills in Power BI, DAX, Power Query, and semantic models
• Excel proficiency for analysis and validation
• Python for data analysis and manipulation
• Tableau and data visualization expertise
• Solid understanding of EDA, KPI analysis, and data storytelling
• Experience in data modeling and schema mapping
• Knowledge of ETL and data warehousing concepts
• Strong analytical, problem-solving, and communication skills

Responsibilities

• Translate business requirements into analytical solutions
• Conduct Exploratory Data Analysis to identify trends and data quality issues
• Extract, transform, and validate data using SQL, Python, and Excel
• Develop and maintain Power BI dashboards and reports
• Use DAX, Power Query, and semantic models to build scalable BI solutions
• Model data and map schemas across datasets
• Develop Tableau reports and dashboards
• Analyze KPIs and provide actionable insights
• Communicate findings through data storytelling
• Collaborate with business and tech teams to improve reporting

Skills

SQL

Python

Power BI

Tableau/Tableau

Excel

DAX

Power Query

EDA

KPI analysis

Data visualization

Communication

Tools

Power BI

Tableau

Excel

SQL

Job description

Organization Overview:

Founded in 2017, SAGOUS Software and Services Pvt Ltd, an IT consulting and product development firm, began its operations in India. We believe in building solutions that revolutionize the way productivity is enhanced in an organization with security, reliability, and scalability. Our unwavering commitment to continuous research and process enhancement empowers us to deliver future-ready applications to clients.

We assure the highest certainty and satisfaction through a profound commitment to our clients, comprehensive industry expertise, and a network of innovation. We are committed to providing our clients with the utmost safe and reliable service. Our goal is to deliver beyond expectations and deliver tangible value to our clients operations at every touch point.

1. As a Senior Data Analyst / BI Analyst, you will:

• Analyse business requirements, processes, and reporting needs and translate them into analytical solutions.
• Perform Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and data quality issues.
• Extract, transform, analyse, and validate data using SQL, Python, and Excel.
• Develop and maintain Power BI dashboards and reports aligned with business KPIs.
• Use DAX, Power Query, and semantic models to build scalable BI solutions.
• Perform data modelling and schema mapping across multiple datasets and business entities.
• Develop reports and dashboards using Tableau and other data visualisation tools.
• Analyse KPIs and business metrics and provide actionable insights to stakeholders.
• Apply data visualisation and storytelling techniques to communicate analytical findings.
• Perform data validation, reconciliation, and quality checks to ensure reporting accuracy.
• Apply ETL and data warehousing concepts to prepare and structure data for analytics.
• Collaborate with business and technology teams to resolve data issues and improve reporting solutions.
• Identify opportunities to improve dashboards, analytical processes, and data-driven decision-making.

2. What You Bring to the Table:

• 8+ years of overall professional experience, including 4+ years of relevant experience in Data Analytics, Business Intelligence, or Data Analysis.
• Strong hands-on experience with SQL and data analysis.
• Strong experience with Power BI, DAX, Power Query, and semantic models.
• Advanced proficiency in Excel for analysis, reporting, and data validation.
• Hands-on experience with Python for data analysis and manipulation.
• Hands-on experience with Tableau and data visualisation.
• Strong understanding of EDA, KPI analysis, business reporting, and data visualisation.
• Experience with data modelling and schema mapping.
• Basic understanding of ETL and data warehousing concepts.
• Strong analytical, problem-solving, and communication skills.

3. You Should Possess the Ability to:

• Translate business requirements into clear analytical and reporting solutions.
• Analyse complex datasets and identify meaningful trends, patterns, and insights.
• Build accurate, scalable, and user-friendly BI dashboards and reports.
• Work effectively with SQL, Python, Excel, Power BI, and Tableau.
• Validate and reconcile data across multiple sources.
• Communicate complex data insights clearly to technical and non-technical stakeholders.
• Collaborate effectively with business and technology teams.
• Troubleshoot data and reporting issues and identify root causes.
• Continuously improve existing dashboards, reporting processes, and analytical solutions.
• Work independently while taking ownership of analytical deliverables.

4. What We Bring to the Table:

• Opportunity to work on data analytics and business intelligence initiatives involving complex datasets.
• Exposure to SQL, Python, Power BI, Tableau, Excel, data modelling, and ETL environments.
• Opportunity to work closely with business and technology stakeholders.
• Scope to improve reporting frameworks, dashboards, data quality, and data-driven decision-making.

Location

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.