Results-driven Business Analyst with hands-on experience translating complex datasets into actionable insights across fraud detection, procurement analytics, and marketing analytics. Proficient in SQL, Python, Power BI, and Tableau with a foundation in machine learning and data modeling. Proven track record of partnering with cross-functional stakeholders to drive revenue growth and operational efficiency. Seeking a high-impact analytics role at a data-forward organization to deliver measurable business outcomes.
Results-driven Business Analyst with hands-on experience translating complex datasets into actionable insights across fraud detection, procurement analytics, and marketing analytics. Proficient in SQL, Python, Power BI, and Tableau with a foundation in machine learning and data modeling. Proven track record of partnering with cross-functional stakeholders to drive revenue growth and operational efficiency. Seeking a high-impact analytics role at a data-forward organization to deliver measurable business outcomes.
- Designed and maintained interactive Power BI dashboards to visualize key performance indicators (KPIs), enabling data-driven decision-making for business stakeholders.
- Conducted complex SQL queries and joins to aggregate operational data, ensuring accuracy and consistency across analytical datasets.
- Collaborated with cross-functional teams to collect and document business requirements, translating operational needs into technical analytical solutions.
- Performed data preparation and cleansing tasks to ensure data integrity for monthly reporting and ad-hoc analytics requests.
- Identified performance issues and operational gaps through trend identification and root cause analysis of historical datasets.
- Supported the development of automated reporting workflows using SQL and Excel to improve delivery efficiency and data reliability.
- Developed and maintained data models to support consulting projects, converting complex business problems into actionable analytical datasets.
- Created Tableau dashboards to visualize marketing campaign performance, tracking ROI and driving data-based budget adjustments.
- Performed statistical analysis and data preparation for regional retail client engagements to forecast demand with high accuracy.
- Facilitated requirements elicitation workshops with stakeholders to document business processes and data dictionary standards.
- Conducted competitive market analysis and synthesized findings into executive-level insight reports and presentations.
- Assisted in the documentation of data governance standards for client analytics infrastructure and reporting frameworks.
- Analyzed procurement and supply chain data using complex SQL queries to identify cost-saving opportunities and operational inefficiencies.
- Built and maintained marketing analytics reports to measure campaign performance, tracking conversion rates and consumer trends.
- Performed data validation and integrity checks to support the development of demand forecasting models for inventory optimization.
- Created comprehensive data visualizations and monthly business reviews to communicate analytical results to diverse stakeholders.
- Developed documentation for data processing workflows, ensuring adherence to quality standards and reporting consistency.
- Supported ad-hoc data requests and performed trend identification to help refine supply chain strategies across multiple product lines.
• Built a data processing pipeline using SQL and Python to extract and prepare datasets from large-scale sources for anomaly detection. • Designed interactive dashboards in Tableau to visualize fraud trends, supporting investigative response through clear data communication. • Performed complex queries on Snowflake data platforms to optimize data retrieval and support rigorous relational analysis. • Conducted root cause analysis on irregular transaction patterns, documenting findings to improve model accuracy and data quality. • Developed and maintained analytical documentation to support technical and non-technical stakeholder reviews of dashboard insights. • Contributed to data integrity efforts by applying statistical methods to identify inconsistencies and performance gaps in transactional data.
• Developed complex SQL queries to extract and analyze e-commerce sales data, identifying key trends in customer behavior and inventory. • Created automated reporting models in Excel and Python to evaluate business performance against defined KPIs. • Built interactive visualizations in Power BI to track customer segmentation, providing insights for data-driven strategic planning. • Performed data preparation and quality checks to ensure accuracy in forecasting models and operational datasets. • Collaborated on documentation for data modeling workflows and ETL processes, improving reporting framework consistency. • Conducted trend identification and predictive analysis to support ad-hoc reporting requests for cross-functional partners.