Aniketh N
Senior Operations and Business Analyst @Verde Nutra
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WORK HISTORY
Senior Operations and Business Analyst @Verde Nutra
St. Petersburg, FL, US
Led end-to-end analytics strategy for global nutraceutical and wellness products serving 1M+ customers across North America, Europe, and APAC- Partnered with Product, Finance, and Marketing to drive $1M+ annual revenue through pricing optimization, customer segmentation, and demand forecasting- Designed executive dashboards (SQL, Power BI, Tableau) tracking revenue, CAC, LTV, churn, and conversion rates across 30+ international markets- Identified funnel drop-offs and growth opportunities, contributing to a 12–15% YoY revenue uplift- Mentored a team of analysts, standardizing KPI definitions and improving reporting efficiency by 40%.
EDUCATION
Siddhartha Institute of Engineering & Technology
Bachelor of Technology - BTech, Computer Science and Engineering
Stevens Institute of Technology
Master's degree, Computer Science
ABOUT ANIKETH N
Data Analyst with 4+ years of experience designing, automating, and delivering data-driven solutions across healthcare, retail, and financial services. I specialize in building scalable, insight-rich analytics platforms on cloud ecosystems like AWS and GCP, transforming raw data into actionable intelligence, predictive models, and business-ready dashboards that accelerate decision-making and innovation.Proficient in end-to-end data lifecycle management from data ingestion, cleaning, and modeling to visualization and predictive analytics. Experienced in integrating automation scripts to modernize analytics capabilities while maintaining compliance with enterprise security and governance standards.My background includes collaborating with cross-functional teams to define KPIs, optimize reporting strategies, and deliver high-impact analytics solutions that improve operational efficiency, reduce risk, and unlock new revenue opportunities.Core Strengths Data Analytics & BI: SQL, Python (Pandas, NumPy), Tableau, Power BI, Excel, Google Sheets Cloud & Data Platforms: AWS (Redshift, S3, Lambda), GCP (BigQuery, Vertex AI, Looker Studio) ETL & Data Engineering: Airflow, dbt, Alteryx, Snowflake, Dataflow AI/ML Analytics: BigQuery ML, predictive modeling Business Insights: KPI design, data storytelling, financial and operational reporting, ad-hoc analytics Data Governance & Compliance: HIPAA, GDPR, SOC 2, IAM policies, role-based access control Collaboration: Strong partnerships with data engineering, product, finance, and leadership teams to deliver analytics that drive strategic decisions
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