Business Data Analyst

Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: About Us At Southwest Airlines, we believe that flying should feel like freedom. For over 50 years, weve been connecting people to what matters most with low fares, legendary hospitality, and a heart for service. Our culture is built on the principles offun,friendliness, andfamily, making us one of the most admired workplaces in the world. If youre passionate about making a difference, love working in a fast-paced environment, and want to help millions of travelers reach their destinations with a smile, Southwest Airlines is the place for you. Here,your career can truly take flight. Job Summary Southwest's Analytics & AI Pod partners across the business to turn data into decisions building the dashboards, datasets, KPI frameworks, and AI-enabled analytical products that power operational and strategic decision-making. The team works at the intersection of Analytics, GenBI, self-service analytics, and modern data platforms, delivering trusted insights to stakeholders across Southwest.As Business Data Analyst Analytics & AI, you'll work on initiatives that bridge business strategy, analytics delivery, and data-driven decision-making. You'll build and enhance Tableau dashboards, analytical datasets, and KPI reporting products used across the business while gaining hands-on exposure to self-service analytics, GenBI, and AI-enabled analytics as you grow your career from our Hyderabad office.This role will support Southwests Analytics & AI initiatives by transforming business needs into actionable analytical solutions that strengthen datadriven decisionmaking. This role collaborates with business and technology teams to build dashboards, reports, datasets, and insights using tools such as Python, SQL, and Tableau. ResponsibilitiesPartner with Business Stakeholders to understand reporting needs, business processes, and analytical opportunities.Support analytical discovery activities and requirements gathering sessions.Translate business requirements into analytical solutions, user stories, reporting specifications, and datasets.Design, develop, and enhance Tableau dashboards, reports, scorecards, and analytical products.Develop SQL-based analytical solutions and datasets that provide actionable business insights.Utilize Python to perform data analysis, automate analytical processes, and support reporting solutions.Analyze datasets to identify trends, opportunities, and operational insights.Define and document business metrics, KPIs, calculations, and reporting standards.Partner with Product Owners, Data Engineers, and AI Engineers to deliver analytical capabilities aligned with business objectives.Collaborate with Data Engineers to ensure analytical requirements are reflected in data models and curated datasets.Leverage Alteryx workflows where appropriate to support reporting and business automation.Support KPI implementation, reporting enhancements, and business intelligence initiatives.Perform data validation, reconciliation, and quality assurance activities.Create presentations and reports that communicate analytical findings to business and technology stakeholders.Participate in Agile ceremonies and delivery activities.Create and maintain business documentation, reporting inventories, analytical specifications, and data dictionaries.May perform other job duties as directed by Employee's Leaders Knowledge, Skills and AbilitiesStrong knowledge of SQL, relational databases, data analysis techniques, and analytical data structures.Strong knowledge of Tableau dashboard development and data visualization best practices.Intermediate knowledge of Alteryx workflows, data preparation, and business process automation.Intermediate knowledge of Python for data analysis, automation, and analytical solution development.Knowledge of self-service analytics and business intelligence concepts.Knowledge of AI-enabled analytics and GenBI concepts.Skilled in stakeholder engagement, requirements gathering, facilitation, and communication.Skilled in data validation, reconciliation, and quality assurance practices.Skilled in Agile methodologies and iterative delivery practices.Ability to communicate analytical findings to technical and non-technical audiences.Ability to analyze business processes and identify opportunities for improvement.Ability to transform business requirements into analytical solutions and actionable insights.Preferred:Cloud-based analytics ecosystems and modern data platforms (AWS, Redshift, Snowflake, or similar)BI