Business Analyst’s Journey Solving Real-World AI Challenges

 

Introduction 

In today’s AI-powered enterprise landscape, Business Analysts (BAs) play a critical role in translating complex business needs into actionable, tech-enabled solutions. In this candid Q&A, we hear from an experienced consultant about their journey through business analysis, automation, and AI adoption, spanning global banks, cross-functional teams, and emerging technologies. 

(Note: For confidentiality, we’ve kept the consultant’s identity and client details anonymous.) 

Q: How did your journey into business analysis begin? 

I began my career as a Business Analyst at a Multinational company (MNC), immediately after graduation. Business analysis sits perfectly at the intersection of tech and non-tech, offering the chance to work with cutting-edge tools like artificial intelligence (AI), while also solving business problems and collaborating with diverse stakeholders. My first project involved compliance and automation work in Know Your Customer (KYC) department using Structured Query Language (SQL) and Python. 

Q: What led you to transition into consulting in the U.S.? 

After two years at the MNC, I pursued a Master’s degree in Engineering Management at Carnegie Mellon University to deepen my skills and broaden my exposure. After graduation, I took on a consulting role in the financial sector, working with multiple clients in the past few years. Consulting felt like the right fit—I enjoy being hands-on from day one, solving real problems in high-stakes environments. 

Q: Has your role been purely business analysis, or has it included product responsibilities too? 

While my title has been Business Analyst, many of my roles—included product management responsibilities. I defined requirements for internal AI-powered tools, gathered user needs, and drove implementation with engineering teams. In that sense, my BA role has always leaned toward product ownership. 

Q: You’ve worked across multiple financial institutions. How has your approach to business analysis evolved over the years? 

The core principles have stayed the same – understanding requirements, aligning with business needs, facilitating delivery. However, each client and project bring unique tools, technologies, and expectations. At the first client, I focused primarily on Excel VBA, SQL, and Power BI for data-driven problem-solving. Later, the focus shifted to automation and the development of generative AI solutions using the Microsoft Power Platform, including Power Automate and Power Apps. 

Q: Speaking of AI, can you share a recent use case where you implemented it? 

At my current client, we built an AI-driven incident management tool using Microsoft Copilot and Power Apps. It helped automate repetitive workflows and provided contextual suggestions based on historical incidents, resulting in a 20% reduction in resolution times. I also used Copilot to support Power Automate queries, draft policy documents, and even assist in documenting internal procedures. 

Read More: AI-Proof Careers: 7 Roles That Will Outlast Automation 

Q: What are the tools and platforms you regularly work with? 

The tools I’ve used vary by project, but they include Microsoft Copilot, Power BI, Power Apps, Power Automate, SQL, Visio, JIRA, and Tableau. I typically clean data using SQL, build dashboards in Power BI, and collaborate using tools like Confluence and SharePoint. For incident workflows, I’ve also worked with Microsoft 365 and Nintex. 

Q: How do you ensure the dashboards and reports you create are valuable to the business stakeholders? 

Simplicity and clarity are key. I start by aligning closely with stakeholders to understand what metrics matter most to them. I ensure that dashboards use appropriate visualizations, consistent color schemes (e.g., green for positive trends), and intuitive layouts. Clean data is the foundation, and I standardize it using SQL or Python before visualization. Consistency in categories, labels, and formats is critical to produce accurate analysis. 

Q: How do you handle requirement gathering in Agile, cross-functional environments? 

Documentation and communication are extremely important to begin with. I write detailed requirements, confirm them with stakeholders, and use JIRA to manage backlogs. I often prepare Business Requirements Documents (BRDs) and translate them into technical user stories. My work involves close collaboration with project managers, technical architects, and developers. 

Read More: Building a Career in Business Analysis & Project Management: Tools, Lessons, and Mindsets That Last 

Q: What technical and soft skills have helped you thrive as a Business Analyst? 

Technical skills, such as SQL, Python, Tableau, and Power BI, as well as familiarity with visualization tools like Figma and Canva, are essential for success. On the soft skills front, structured thinking, clear communication, curiosity, and stakeholder alignment are crucial, particularly in cross-functional settings. 

Q: How do you stay updated with evolving technologies like generative AI? 

I stay plugged into internal communities at work (e.g., Copilot and AI user groups), explore Reddit discussions, and actively read online articles. I also take certifications and courses on platforms like LinkedIn Learning, Microsoft Learn, and Udemy. Staying curious and proactive makes all the difference. 

Q: Any final advice for consultants or aspiring BAs targeting U.S. financial services roles? 

Build real-world experience. Theory only takes you so far, hands-on projects using AI tools or reporting platforms make all the difference in interviews. Hiring managers often want to see examples of real world problem-solving, so keep practicing and building your skills. Familiarity with tools like Copilot, Power BI, and SQL, and experience with platforms like Microsoft 365 and SharePoint, can set you apart. 

Read More: How to Build a High-Impact Tech Resume for Contract Jobs 

Conclusion 

Whether you’re building an AI-powered incident management tool or translating business goals into actionable dashboards, the modern Business Analyst role requires a blend of strategic thinking and technical expertise. As this consultant’s story illustrates, real-world problem-solving, especially in finance—requires agility, domain expertise, and a willingness to adapt. 

Looking to build a fulfilling career into business analysis or AI as a consultant? 

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