About the Role

We are seeking a proactive and solutions-oriented Data Analyst with 2.54 years of hands-on experience in data analytics and applied AI/ML techniques. In this role, you will leverage your strong technical foundation and business acumen to transform complex datasets into meaningful insights that guide decision-making and strategy. You will demonstrate expertise in modern data analytics tools (such as Python, SQL) and show enthusiasm for learning next-generation analytics platforms like Adobe Customer Journey Analytics (CJA). The ideal candidate is passionate about turning data into value, comfortable collaborating across diverse teams, and committed to staying at the forefront of emerging analytics and AI trends. You excel at translating business needs into actionable analysis, communicating findings effectively to technical and non-technical audiences, and driving measurable outcomes through data.

What You Will Do

• Conduct data analysis and prepare reports to support business decision-making using statistical and machine learning techniques.
• Utilize Python and/or R, along with AI-powered coding tools such as Cursor AI or GitHub Copilot, to accelerate scripting and enhance analytics workflows.
• Extract, clean, and transform data from various sources applying SQL and data wrangling skills to ensure data quality and readiness for analysis.
• Collaborate with team members to understand data requirements, ensure alignment to business objectives, and contribute to project deliverables.
• Participate in requirements gathering and solution workshops with stakeholders and senior analysts.
• Communicate analytical findings clearly to both technical and non-technical audiences via presentations, dashboards, or written summaries.
• Demonstrate curiosity and initiative by proactively learning new tools and technologies, such as Adobe Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), and similar digital analytics solutions.
• Support ongoing enhancements to analytics processes, documentation, and team best practices.
• Foster a collaborative team culture by sharing knowledge and supporting others.

Key Responsibilities Emphasized

• Outcome-Driven Accountability: Aligning with delivering business outcomes and transforming business needs into analytical solutions.
• Technical Leadership and Advocacy: Supporting technical best practices, code integrity, and active participation in key SDLC phases.
• Engineering Craftsmanship: Focusing on clean code, adherence to standards, data wrangling, and documentation.
• Customer-Centric Engineering: Delivering what stakeholders need through rapid prototyping and experimentation.
• Incremental and Iterative Delivery: Embracing Agile methodologies and continuous improvement.
• Cross-Functional Collaboration and Integration: Working effectively with diverse teams and integrating multiple perspectives.
• Advanced Technical Proficiency: Leveraging Python/R, SQL, AI coding assistants, and adopting new analytics tools.
• Domain Expertise: Quickly acquiring business-relevant knowledge and supporting business use cases with technical solutions.
• Effective Communication and Influence: Presenting complex ideas to various audiences and contributing to discussions.
• Engagement and Collaborative Co-Creation: Building strong relationships and co-creating value-driven analytics.

The Team

The US Deloitte Technology Product Engineering team drives Deloitte's success by delivering innovative analytics and data science solutions through a modern, scalable, and value-focused delivery model. As the firm's premier internal development team, they empower business units and internal operations to make smarter, data-driven decisions by transforming complex business needs into actionable insights and robust digital products. Leveraging advanced analytics tools, machine learning, and a responsive talent structure, this team consistently delivers measurable outcomes that enhance Deloitte's efficiency, effectiveness, and market leadership.

Key Qualifications

• 2.54 years of professional experience in data analytics or data science.
• Proficiency in Python and/or R for analytics and machine learning.
• Strong SQL skills for data querying and transformation.
• Hands-on experience with AI-powered coding tools (e.g., Cursor AI, GitHub Copilot).
• Willingness to learn new tools such as Adobe CJA and other digital analytics platforms.
• Excellent communication and collaboration skills.
• Ability to transform business needs into analytical solutions.

Good to Have Skills

• Experience with cloud analytics (AWS, Azure, GCP).
• Exposure to unstructured data or MLOps.
• Participation in analytics competitions, hackathons, or holding relevant certifications.
• Domain knowledge in a relevant business vertical.

How You Will Grow

• Opportunity to work on impactful analytics projects.
• Support for ongoing professional development and learning new technologies.
• Collaborative environment with experts across analytics and business domains.

Our Purpose

Deloitte's purpose is to make an impact that matters for its people, clients, and communities. This purpose guides their daily work, client engagements, and investments to drive positive outcomes.

Our People and Culture

Deloitte fosters an inclusive culture that empowers individuals to contribute unique perspectives, driving creativity and innovation to solve complex client challenges. This makes Deloitte a rewarding place to work.

Professional Development

At Deloitte, professionals benefit from opportunities to work with leading experts, with a strong emphasis on professional growth through diverse learning and networking opportunities. The DU: The Leadership Center in Hyderabad symbolizes this commitment to holistic development.

Benefits To Help You Thrive

Deloitte offers a comprehensive rewards program designed to empower professionals to thrive mentally, physically, and financially, providing a distinctly Deloitte experience. Benefits are designed to support professionals and their loved ones.