Matching exceptional talent with companies that value substance over stories.

N.R.A.

Business Intelligence Associate

Systems-thinking BI professional who builds analytics infrastructure from zero to enterprise scale with genuine curiosity for emerging tech

View CV

🧠 How they think

• We found him to be exceptionally structured and outcome-focused throughout our conversation. When describing his landmark project, he methodically walked through connecting with 5-10 stakeholders daily to understand data sources, then systematically building from basic reporting to comprehensive self-service analytics.

• His approach to the Netflix dataset question revealed someone who thinks in layers—starting with inventory categorisation, then user behaviour patterns, regional preferences, and finally recommendation algorithm optimisation.

• He consistently connects technical work back to business impact, showing he understands that data exists to drive decisions rather than just satisfy curiosity.

⚡️ Fast facts

EDUCATION

BTech Computer Science & Engineering from GITAM University with 9.0 CGPA

INDUSTRY EXPERTISE

Analytics, Business Intelligence, Data Analysis, Fintech, Financial Services

YEARS OF EXPERIENCE

EXPERIENCE WITH TOOLS

SQL, Tableau, Alteryx, Snowflake, Teradata, Python, Power BI, SAS, Power Apps, Adobe Analytics

NOTICE PERIOD

Not specified

PRIORITIES FOR NEXT ROLE

Career growth, Impactful work, Competitive compensation

HEAR THEM IN ACTION

00:00 / 01:04

💪 What drives them

• He's genuinely motivated by curiosity and the satisfaction of solving complex problems from first principles. What struck us most was his authentic passion for understanding how systems work—from childhood tinkering with computers to adult fascination with Netflix algorithms.

• His drive isn't about climbing corporate ladders but about mastering his craft and seeing tangible impact from his work. The way he described building analytics infrastructure from nothing showed someone who finds genuine satisfaction in creating order from chaos.

📣 Communication style

• He explains complex technical concepts in accessible terms without oversimplifying. During our conversation, he seamlessly moved between technical detail (Tableau conferences, RAG techniques) and business context (client retirement planning, stakeholder needs) depending on what the conversation required.

• We noticed he asks clarifying questions before diving into answers, showing respect for context. His Netflix dataset response demonstrated ability to structure complex thinking into logical, followable steps.

🥵 Toughest problem solved

• He transformed a completely analytics-free B2B business area from scattered data chaos into a functioning insights engine with 20-30 self-service reports. The scale of stakeholder management alone—connecting with 5-10 people daily just to understand current data sources—demonstrates impressive persistence and systematic thinking.

• What impressed us most was his focus on the human impact: reducing response times from weeks to hours, enabling business self-service, and building systems that allowed strategic decision-making around investment instruments.

• He showed clear understanding that the technical build was just one part; the real success was adoption and business value creation.