Data Analyst

The Data Analyst is responsible for transforming structured and unstructured data into actionable insights through advanced analytics, business intelligence, cloud-based data platforms, and automation solutions. This role will design and optimize data pipelines, develop interactive dashboards and executive reporting, implement predictive and machine learning models, and support AI-driven business initiatives using AWS cloud technologies and modern data platforms. The ideal candidate will have strong expertise in data analytics, visualization, SQL, Python, cloud-based data solutions, and AI technologies. Experience with Tableau, Power BI, AWS services, ETL/ELT development, machine learning, generative AI, and workflow automation platforms is highly desirable. This individual will play a key role in enabling data-driven decision-making, improving operational efficiency, and accelerating digital transformation initiatives by delivering scalable analytics, automation, and AI-powered solutions across the enterprise.

The successful candidate will combine strong technical capabilities with business acumen, collaborating closely with stakeholders to translate business challenges into innovative analytical and technology solutions. They will champion data quality, governance, security, and continuous improvement practices while staying at the forefront of advancements in data analytics, cloud computing, automation, machine learning, and generative AI technologies.

Requirements:

• This position offers the opportunity to work at the intersection of Data, Cloud, Automation, AI, and D& T Transformation, helping shape the future of digital capabilities and data-driven innovation across the organization.
• 2-4 years of experience in data analytics, business intelligence, data engineering, or related fields.
• Bachelor's degree in engineering, computer science, data science, statistics, mathematics, or a related discipline; MBA preferred.
• Strong proficiency in SQL, Python, Tableau, and Power BI
• Experience with AWS data and analytics services, including S3 Glue, Athena, Redshift, Lambda, SageMaker, and Bedrock, REST APIs, and Git/GitHub
• Knowledge of ETL/ELT development, data modeling, statistical analysis, and machine learning techniques.
• Hands-on experience with generative AI, LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, and agentic AI frameworks.
• Experience developing workflow automation and business applications using Power Apps, Power Automate, or similar platforms.
• Strong analytical thinking, problem-solving, stakeholder management, and communication skills.
• I have a passion for innovation, continuous learning, and driving business transformation through data and technology.
• Hands-on experience with BI tools like Tableau, Power BI, AWS, and automation tools
• Strong meeting facilitation, negotiation, consulting, and customer service skills.
• Excellent written communication, oral communication, strategic planning, and organizational skills
• Strong ownership, collaboration, and continuous learning mindset.
• High attention to detail, solution-oriented, and capable of meeting or exceeding deadlines in a fast-paced environment
• Embraces diverse people, thinking, and styles
• Consistently makes safety and security of self and others the priority

Behavioral Competencies:

• Ability to produce high-quality results and work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
• Adapt communication clearly and concisely based on team dynamics and express thoughts and ideas effectively.
• Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
• Ability to understand business processes, implement innovative solutions, and guide juniors on continuous improvement by constantly updating oneself on current technology and trends.
• Inquisitive to understand customer and business expectations while creating value addition on technical solutions.

Preferred Qualifications:

• Proficient in stakeholder management and learning mindset.
• Familiarity with data governance and compliance best practices.
• Prior experience with Delta or other airline or hospitality data is a plus.
• Self-motivated and takes pride in building great products for key stakeholders.
• Resourceful in finding the data and tools you need to get the job done.
• Not afraid to ask for help when you need it or help teammates when they need a boost.