Vengal Rao

Business Analyst

Bengaluru, Karnataka, India1 yr 8 mos experience

Most Likely To Switch

Key Highlights

Proven expertise in CRM systems and data analytics.
Skilled in process automation and workflow optimization.
Strong ability to translate business needs into actionable insights.

Stackforce AI infers this person is a Business Analyst with a focus on CRM and data analytics in the SaaS industry.

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Skills

Core Skills

Business AnalysisData AnalyticsProcess Automation

Other Skills

Automotive CRMn8nETLPower BIMySQLMongoDBPythonAdvanced ExcelRequirement GatheringUATFunctional TestingStakeholder ManagementProduct EnhancementR&DIT Business Analysis

About

Business Analyst with hands-on experience in CRM systems, data analytics, and process automation. Skilled in requirement gathering, stakeholder management, and documentation, with a strong ability to turn business needs into actionable insights. Proficient in Power BI, MySQL, MongoDB, Python, ETL pipelines, and n8n for workflow automation and data integration. Experienced in process mapping, gap analysis, testing (UAT), and report generation to improve operational efficiency and decision-making. Passionate about using data and technology to optimize business performance, enhance products, and deliver measurable impact. Always eager to collaborate and explore opportunities in Business Analysis, Data Analytics, and Product Development.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

1 yr 5 mos

Current Experience

Wyzmindz solutions pvt. ltd.

2 roles

Business Analyst - software

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Role Description
As a Business Analyst at WyzMindz, I work at the intersection of business, technology, and customer experience—analyzing requirements, designing automation workflows, and driving improvements in CRM functionality for automotive clients. My focus is on enhancing operational efficiency, data accuracy, and user adoption through data-driven decision-making and system optimization.
Key Responsibilities
Collaborated with automotive dealership stakeholders to gather, analyze, and translate business requirements into CRM solutions.
Facilitated requirement elicitation, process mapping, and gap analysis to improve customer and service workflows.
Designed and automated workflows using n8n to enhance lead management and post-sales operations.
Managed ETL processes for consistent, accurate, and synchronized CRM and system data.
Partnered with development and QA teams to validate features, support UAT, and ensure high-quality releases.
Authored and maintained BRD, FDD, and RTM documentation for all project deliverables.
Built Power BI dashboards and MongoDB models to visualize key sales, service, and performance metrics.
Collaborated with R&D on feasibility studies and CRM capability enhancements aligned with business goals.
Provided post-deployment analysis, gathered user feedback, and implemented continuous process improvements.
Key Skills & Tools
Business Analysis | Automotive CRM | Process Automation | n8n | ETL | Power BI | MySQL | MongoDB | Python | Advanced Excel | Data Analytics | Requirement Gathering | UAT | Functional Testing | Stakeholder Management | Product Enhancement | R&D | IT Business Analysis | Onboarding
Highlights:
Streamlined CRM workflows, improving response time and reducing manual effort by 30%.
Automated lead and data processes using n8n and ETL, improving synchronization accuracy.
Built real-time Power BI dashboards enabling faster, insight-driven decisions.
Supported multiple CRM enhancement projects.

Business AnalysisAutomotive CRMProcess Automationn8nETLPower BI+13

Trainee Business analyst

Jan 2025 – Jun 2025 · 5 mos · Bengaluru, Karnataka, India · Hybrid

ExtractTransformLoad (ETL)Business Analytics

Dataprompt international

2 roles

Trainee Data Analyst

Aug 2024 – Nov 2024 · 3 mos · Chennai, Tamil Nadu, India

A data analyst utilizes various tools such as WinCross, SPSS, Excel, and Quantum for processing and analyzing data. These tools enable them to manipulate datasets, perform statistical analysis, and generate insights crucial for decision-making. WinCross aids in cross-tabulation and visualization, SPSS facilitates advanced statistical analysis, Excel is versatile for data manipulation and basic analysis, while Quantum offers robust capabilities for survey data management and analysis. Mastery of these tools allows data analysts to extract meaningful patterns and trends, providing valuable insights that drive business strategies and operational efficiencies.

Microsoft ExcelData Processing