Savita Singh

Business Analyst

Bengaluru, Karnataka, India7 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in architecting scalable analytics ecosystems.
Delivered multimillion-dollar savings through data initiatives.
Proven track record in driving performance measurement architecture.

Stackforce AI infers this person is a Data & Business Intelligence expert in SaaS with a focus on analytics and performance optimization.

Contact

singhsavita9958@gmail.com LinkedIn

Skills

Core Skills

Business IntelligenceData AnalysisData EngineeringBusiness AnalysisProject Management

Other Skills

Amazon S3SQLAmazon QuickSightData VisualizationRedshiftETL ToolsAnalytical SkillsNoSQLDashboardsReport WritingReport DevelopmentData Mining SoftwareData Warehousing SolutionsOracle ApplicationsGoogle Cloud Platform (GCP)

About

I am Savita Singh, a Data & Business Intelligence leader with over 7+ years of progressive experience in architecting scalable analytics ecosystems for large-scale operations across global markets. My expertise lies in enabling structured decision-making through high-impact performance visibility frameworks. I specialize in driving Enterprise KPI Governance, Performance Measurement Architecture, and Analytics Roadmap Execution, collaborating with cross-functional leadership to translate strategic priorities into measurable data initiatives. Throughout my career, I have developed deep expertise in Advanced SQL engineering, Redshift optimization, and automated ETL pipeline development. I have successfully built high-performance data models that significantly reduced manual reporting dependencies and improved computational efficiency. My proven track record includes delivering measurable business impact through Operational Analytics, Loss Reduction Strategies, and Cost Optimization initiatives, influencing process improvements that generate multimillion-dollar savings.

Experience

Amazon

3 roles

Business Analyst 1

Jul 2023 – Present · 2 yrs 8 mos

Creating interactive dashboards, trend analysis, and forecasting to support smart, data-driven decisions.
Enabling seamless tracking of 100+ business KPIs across multiple regions with user-friendly QuickSight dashboards at Amazon, empowering stakeholders to uncover business opportunities and make informed decisions.
Automating SQL ETLs in Redshift, cutting manual hours by 90% and reducing compute resource usage by 60%.
Developing robust data models and ETL pipelines, ensuring high data accuracy for strategic decision-making.
Collaborating with cross-functional teams to deliver insightful BI dashboards using Tableau and QuickSight.
Conducting financial analyses to optimize budget allocations, reducing operating expenses by 10%.

Amazon S3SQLBusiness IntelligenceData Analysis

Business Analyst

Promoted

Nov 2020 – Present · 5 yrs 4 mos

Developed and implemented an Annual Operating Plan (AOP) Induction module tailored to team needs, collaborating closely with AOP leads.
Applied best-practice methodologies, significantly enhancing project delivery timelines without compromising quality.
Optimized project management processes through effective communication and collaboration across cross-functional teams, ensuring seamless project execution.
Achieved a ~99% compliance rate in GPS within Indian operations, resulting in annual savings of approximately $2 million through comprehensive route analysis and compliance issue resolution.
Conducted in-depth analysis and adjusted logic to align with Indian operations while adhering to global standards and definitions.

Amazon S3Analytical SkillsBusiness AnalysisProject Management

Analyst and quality specialist

Jun 2018 – Nov 2020 · 2 yrs 5 mos

Followed SOPs for manual fixes, using pattern recognition to enable automation. Performed minor SQL queries, updated records, tracked progress, and resolved technical challenges.
Improved address learning for smoother delivery by enhancing Amazon maps and geocodes.
Collaborated with the program management team to update tools, automate support processes, and build and monitor KPIs.
Utilized Amazon's internal tools for Business Intelligence, Redshift DB, Geo data editor, and MySQL Workbench.
Gathered data, created reports, and communicated findings to cross-functional teams.
Developed a project dashboard to monitor queue, backlog, and quality metrics, consolidating key information on a single page for better visibility and management.

NoSQLDashboardsData AnalysisBusiness Intelligence