Senior Data Analyst - Tableau/Power BI

Job Description:

We are looking for an experienced Senior Data Analyst to transform complex business data into actionable insights through advanced analytics, reporting, and visualization. The ideal candidate should have strong expertise in SQL, BI tools, and relational databases, with the ability to work closely with business stakeholders to support data-driven decision-making.

Key Responsibilities:

• Analyze large and complex datasets to identify business trends, patterns, and actionable insights.

• Develop and optimize complex SQL queries for data extraction, transformation, and analysis.

• Build interactive dashboards and reports using Power BI, Tableau, or Amazon QuickSight.

• Perform data validation, quality checks, and performance optimization for analytical queries.

• Work with relational databases such as MySQL and PostgreSQL to support reporting and analytics requirements.

• Collaborate with business, product, and engineering teams to understand analytical requirements and deliver meaningful insights.

• Design KPIs, metrics, and visualization strategies to support business decision-making.

• Perform ad hoc analysis and communicate findings through clear reports and presentations.

• Contribute to advanced analytics initiatives and evaluate opportunities to leverage AI-powered analytics solutions.

• Maintain documentation and ensure adherence to data governance and reporting standards.

Required Skills:

• 57 years of experience in Data Analytics or Business Intelligence.

• Strong expertise in SQL, including complex query writing, optimization, and performance tuning.

• Hands-on experience with BI tools such as Power BI, Tableau, or Amazon QuickSight.

• Strong knowledge of relational databases, including MySQL and PostgreSQL.

• Experience creating dashboards, reports, and data visualizations for business users.

• Good understanding of data modeling, data analysis, and reporting best practices.

• Knowledge of advanced analytics techniques and statistical analysis.

• Excellent analytical, problem-solving, and stakeholder management skills.

Preferred Skills:

• Experience with Python for data analysis and automation.

• Exposure to Large Language Models (LLMs), Agentic AI, or AI-powered analytics.

• Experience in Supply Chain, Product-based organizations, or e-commerce domains.

• Familiarity with cloud data platforms and modern analytics ecosystems.

Education (Mandatory):

• Full-time B.E./B.Tech, MCA, M.Tech, MS, M.Sc, or equivalent in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related discipline.