About Me
Business Data Analyst with 4+ years of experience driving data-driven decision-making, financial outcomes, and operational efficiency through advanced requirements gathering, process optimization, data governance, and ag…
Business Data Analyst with 4+ years of experience driving data-driven decision-making, financial outcomes, and operational efficiency through advanced requirements gathering, process optimization, data governance, and agile project leadership. Skilled in predictive modeling, and real-time data visualization to deliver solutions across finance, operations, healthcare, and renewable energy. Proficient with AWS, Azure, GCP, ETL processes, Power BI, Tableau, and MS Office Suite for strategic business intelligence. Strong domain expertise in Banking, Retail, E-commerce, Investment Banking, Healthcare, Insurance, Financial Services, Hedge Funds, and Trading, aligning analytics with generative AI, data automation, market trends, and domain-specific insights.
Experience
Business Data Analyst
<p>Leveraged Python, SQL, ETL processes to extract, clean, transform, integrate large datasets, improving data quality 20% and enabling AI-driven real-time analytics, KPIs, and metrics tracking.</p><p> Developed Business Requirements Documents (BRD), Software Requirements Specifications (SRS), Functional Requirements Documents (FRD), and designed use case scenarios, aligned with Agile methodologies, data governance best practices, stakeholder management, and change management principles</p><p> Conducted advanced sales data analysis using statistical programming, machine learning techniques, Power BI dashboards to identify trends, forecast opportunities, support strategic decision-making, and present actionable insights to stakeholders.</p><p> Led cross-functional Agile/ Scrum teams, facilitating ceremonies, automating workflows, integrating generative AI tools to improve forecasting accuracy 15%, while managing project management aspects, risk management, and policies compliance.</p><p> Performed market trend, consumer behavior analyses including risk assessments, time-series forecasting, business impact evaluations to optimize operations, mitigate risks, and support budget management and maintenance.</p><p> Applied financial services domain expertise in advanced modeling, predictive analytics to reduce downside risks, enhance Net Present Value (NPV), and drive testing, UAT support, and overall business requirement alignment.</p>
Data Analyst
<p>Collaborated in Agile/ Scrum with cross-functional teams, incorporating automation tools and real-time data processing for faster insights and project efficiency.<br>
Employed MS Office Suite (Excel, Visio), SSRS, SSAS for data analysis, reporting, visualization using regression, time-series analysis.<br>
Designed, deployed real-time customer analytics dashboards in Tableau with AI visuals, predictive elements to accelerate decision-making 50%.<br>
Managed AWS & GCP cloud environments (S3, Lambda, BigQuery) for scalable analytical use cases and data governance compliance.<br>
Executed Cost/ Benefit, Risk, Impact, SWOT, Regression, Time Series, GAP analyses leveraging domain knowledge for strategic initiatives in insurance and financial sectors.</p>
Salesforce Administrator
<p>Managed user account creation, setup, password resets, Roles & Profiles, group configurations with secure access controls and AI-enhanced user management.<br>
Configured field-level access for custom objects per organizational roles, applying data governance and security best practices.<br>
Developed Custom Objects, Tabs, Entity-Relationship models, validation rules, Components with API integrations and automation.<br>
Defined lookup, master-detail, junction object relationships for scalable data modeling and ETL processes.<br>
Customized fields, page layouts for Account, Contact, Leads aligning with business needs and AI-driven workflows.</p>