Asha Mohan

Client: Gainwell Technology.

• Support annual budget planning and forecasting for the fiscal year, ensuring alignment with organizational financial goals and strategic initiatives.
• Analyze Financial data and spending patterns to identify cost-saving opportunities, process inefficiencies, and optimization areas across departments.
• Partner with finance and operations teams to track actuals vs. Budget, ensuring compliance with spending policies, and accurate financial reporting.
• Develop data-driven insights and reports to support executive decision-making, and improve financial transparency.
• Tools used: Ariba, Advanced Excel, SQL, Google BigQuery, MS Office, JIRA, Power BI.

Team: Risk Technology

• Spearheaded the financial risk data strategy and modeling framework, partnering with Google to build a centralized analytics platform, leveraging Google Cloud Platform (GCP).
• Defined product requirements for data quality monitoring tool, achieving 30% reduction in recurring data issues.
• Collaborated with engineering teams to construct automated data pipelines, enabling near-real-time decision-making in financial risk operations.
• Established data governance framework aligned with business KPIs, ensuring compliance with regulations and operational standards.
• Directed assessment of IT control operations during application migration projects, identifying gaps and improvement opportunities.
• Monitored technology and compliance risks, aligning activities with internal control frameworks and external regulatory expectations.
• Tools used: SQL, JQL, Confluence, Advanced Excel, MS Office, JIRA, Tableau, Google BigQuery, MSSQL, MySQL, SQL Server, GitHub, DBT, Visual Studio.

Client: Walmart Global Tech.

• Partner Payments Risk Strategy and Analytics - Walmart Global Tech.
• Delivered actionable data insights to cross-functional stakeholders, enabling the prioritization of initiatives and informed decision-making in partner payments and risk strategy.
• Designed and tested performance metrics prototypes to evaluate payment partner efficiency, reliability, and compliance across complex transaction ecosystems.
• Conducted deep data mining and analysis using BigQuery and advanced SQL (including window functions and CTEs) to optimize product development, marketing strategies, and business operations.
• Applied statistical techniques to uncover patterns and trends in large datasets, supporting predictive modeling, and diagnostic assessments of partner risk.
• Developed comprehensive partner performance and risk assessment reports, translating technical data into business insights for leadership and operations teams.
• Synthesized quantitative and qualitative business data to design scalable solutions aligned with customer needs and strategic goals.
• Tools used: SQL, Advanced Excel, Python, MS Office, JIRA, Power BI, Tableau, Google BigQuery, MSSQL, MySQL, SSRS, NumPy, Pandas, SQL Server.

Client: Google.

• Go-To-Market (GTM) Strategy & Sales Operations Analyst – Google Cloud.
• Spearheaded GTM sales strategy execution, enabling regional teams to adapt rapidly to evolving sales planning decisions across Org Design, Territory Management, and Quota Setup.
• Partnered with senior leadership to drive strategic planning initiatives, aligning GTM decisions with business objectives, and operational readiness.
• Led the development and deployment of scalable planning capabilities in Anaplan, enhancing territory and quota management processes.
• Collaborated cross-functionally with Product Management, Engineering, and Sales Ops to prioritize deliverables, negotiate product functionalities, and ensure alignment with fiscal year planning goals.
• Designed and maintained dynamic dashboards and reports in Tableau, Power BI, and PLX, supporting forecasting, pipeline management, and account planning for global sales teams.
• Integrated internal and external data sources to generate actionable insights for Sales and Marketing, improving CRM data quality, and driving strategic decision-making.
• Optimized Anaplan models and modules for GTM, Finance, and Sales Ops, enabling real-time visibility into performance metrics, and operational efficiency.
• Conducted User Acceptance Testing (UAT), performed root cause analysis, and delivered resolution recommendations to ensure system reliability and user satisfaction.
• Delivered end-user training and change management resources to support the adoption of new GTM systems and dashboards.
• Designed robust, scalable processes to minimize inefficiencies, and enhance global business performance tracking across key metrics.
• Tools used: SQL, Advanced Excel, Python, Buganizer, Anaplan, MS Office, Google Analytics, PLX, GCP, Google SQL, MS SQL, MySQL, Power BI, Google Data Studio, SSRS, NumPy, Pandas, SQL Server.