Aishwarya Singh

Data and Analytics professional with 6.5+ years of experience across data analytics, business intelligence, Salesforce, data migration, reporting automation, requirements analysis, and stakeholder management. Experienced in converting business requirements and user/process data into actionable insights, dashboards, KPIs, and process improvements. Strong hands-on expertise in SQL/SOQL, Advanced Excel, Power BI, Tableau, Python, Salesforce, ETL/data migration, BRD/requirements gathering and analytics.

Experienced in working cross-functionally with business and technology teams to identify problems, analyse performance, automate workflows, and support data-driven decisions. Seeking to leverage a strong analytics + business + product mindset in a Senior Product Manager role focused on audience growth, user engagement, experimentation, personalisation, product analytics and digital growth.

Senior Data Analyst - Nile Technologies

(2019-09 - 2025-04)

• Analysed business and operational data using SQL, Excel, Power BI and reporting tools to identify trends, performance gaps and opportunities for process improvement.
• Worked with business stakeholders to understand requirements, define reporting needs and translate business problems into data-driven analytical solutions.
• Designed and maintained interactive dashboards and KPI reports to provide stakeholders with visibility into performance and support faster decision-making.
• Performed data analysis and validation across multiple sources to improve data accuracy, consistency and reporting reliability.
• Used SQL/SOQL to extract, transform and analyse data from enterprise systems and support business reporting requirements.
• Automated repetitive reporting and analytical processes using Advanced Excel, Power Query, VBA and Macros, reducing manual effort and improving reporting efficiency.
• Supported data migration and ETL activities, including data validation, reconciliation and issue identification.
• Analysed process and user-related data to identify bottlenecks, trends and improvement opportunities.
• Collaborated with cross-functional teams to document requirements, clarify business rules and support implementation of solutions.
• Prepared BRDs and functional/business requirements based on stakeholder discussions and operational needs.
• Conducted root-cause analysis to identify reasons behind data and process issues and provided actionable recommendations.
• Supported Salesforce-related business processes, data analysis and reporting through Salesforce/SOQL.
• Developed analytical reports that enabled stakeholders to monitor KPIs and evaluate the impact of operational/process changes.
• Worked closely with business and technical teams throughout requirement gathering, analysis, validation and delivery cycles.
• Translated stakeholder and business requirements into measurable KPIs, dashboards and analytical deliverables.
• Used data to identify performance gaps and recommend improvements to business processes and user workflows.
• Built reporting solutions that improved visibility into business performance and enabled data-backed decisions.
• Supported continuous improvement through analysis of trends, exceptions, process bottlenecks and performance metrics.
• Developed a strong understanding of how data, user behaviour, business objectives and technology intersect to drive product/process outcomes.

Customer Service Executive - iEnergizer

(2017-12 - 2018-09)

• Managed customer interactions and resolved issues while maintaining service and process-quality standards.
• Analysed customer concerns and recurring issues to identify patterns and opportunities for service improvement.
• Developed strong understanding of customer needs, user behaviour, pain points and customer experience.
• Coordinated with internal teams to resolve customer issues and improve service delivery.
• Maintained accurate customer and process information while following defined operational procedures.

Bachelor of Engineering - Electrical & Electronics Engineering - Mahatma Gandhi University

MIS & Data Analysis - SLA Consultants, Noida

Advanced Data Science - IIT Roorkee – Intellipaat (2026)