Rital Burile

Business Analyst

Nagpur 0+ yrs exp 80 · Excellent

About

Business Analyst with an MBA in Data Science & Business Analytics and hands-on internship experience across the SDLC — requirements gathering, stakeholder management, Agile Scrum, and cross-functional Business Intelligence delivery. Skilled in eliciting business requirements, preparing BRDs, FRDs, user stories, and acceptance criteria; analysing business processes; and building KPI-driven Power BI dashboards using SQL, DAX, and Power Query. Delivered data-driven solutions that improved reporting accuracy and supported business decision-making.

Skills & Expertise (42)

Power BI Advanced

8.5/10

0.2

Years Exp

Python Advanced

8.0/10

0.2

Years Exp

Advanced Excel Advanced

8.0/10

0.2

Years Exp

Data Visualization Advanced

8.0/10

0.2

Years Exp

SQL Advanced

8.0/10

0.2

Years Exp

DAX Intermediate

7.5/10

0.2

Years Exp

Power Query Intermediate

7.5/10

0.2

Years Exp

Stakeholder Management Intermediate

7.0/10

0.2

Years Exp

ETL Intermediate

7.0/10

0.2

Years Exp

Requirements Gathering Intermediate

7.0/10

0.2

Years Exp

Agile Scrum Intermediate

7.0/10

0.2

Years Exp

Backlog Refinement Acceptance Criteria Business Process Analysis Process Mapping Gap Analysis SWOT Analysis Problem Solving Sprint planning Cross-Functional Collaboration Change Management SDLC UAT KPI Reporting Data Analysis Decision Support User Stories BRD Documentation Jira NumPy Pandas Index-match XLOOKUP Power Pivot Pivot Tables Star Schema Data Modeling Window Functions CTEs Complex Joins MySql Dashboard Development

Work Experience

Data Analytics Intern

SS Infotech Pvt. Ltd.

May 2025 - Jul 2025

Collaborated with cross-functional business and technical teams to analyse business problems and translate requirements into technical solutions; managed datasets of 100K+ records using Python (Pandas, NumPy) and SQL, improving data accuracy by 25%. Applied RDBMS concepts to optimize SQL queries through indexing and query restructuring, reducing execution time by 35% and enabling real-time reporting for business decision-making. Designed and implemented 8+ interactive Power BI and Tableau dashboards, automating KPI monitoring and reducing manual reporting time by 40% across 15+ cross-functional stakeholders. Followed a structured, iterative approach — requirement analysis, data validation, and quality checks — to ensure accurate, timely delivery of analytics solutions within project timelines. Performed statistical analysis (hypothesis testing, correlation, regression) and built 3 predictive ML models (time-series forecasting, linear regression, classification), improving forecast accuracy by 18%.