Data Analyst - SQL, Python, Tableau, ETL

Amulya Veeramasu

Jacksonville, FL +1-512-***-**** *************@*****.*** LinkedIn

SUMMARY

Data Analyst with 5+ years of experience delivering end-to-end analytics solutions across operations, marketing, enterprise SaaS, and IT environments. Proficient in SQL, Python, and cloud platforms (Azure Databricks, GCP) with hands-on experience building ETL pipelines, regression models, anomaly detection systems, and A/B testing frameworks. Proven track record driving 18–35% improvements in forecasting accuracy, operational efficiency, and marketing ROI through Tableau/Power BI dashboards, automated reporting pipelines, and multi-terabyte dataset analysis. Strong cross-functional collaborator with a consistent record of mentoring junior analysts and delivering scalable analytical solutions. TECHNICAL SKILLS

Programming & Scripting: Python, R, SQL, Excel (Pivot Tables, VLOOKUP, Macros, Power Query) Data Analysis & Statistics: Exploratory Data Analysis, Statistical Modeling, R, hypothesis testing, A/B testing analysis, cohort analysis, segmentation analysis, trend analysis, root-cause analysis, anomaly detection, KPI development, descriptive and diagnostic analytics CRM & Marketing Analytics: Salesforce Reporting, HubSpot Analytics, CRM Data Management, Lead-to-Revenue Funnel Analysis, Campaign Performance Analysis, Marketing ROI Reporting, Customer Acquisition Cost (CAC) Analysis, Attribution Analysis, Google Analytics Data Engineering & ETL: ETL Pipeline Design, Data Ingestion, Data Transformation, Data Validation Frameworks, Data Reconciliation, Workflow Scheduling, Apache Airflow, Structured and Semi-Structured Data Processing, Query Optimization Business Intelligence & Visualization Tableau, Power BI, Dashboard Design, Executive Reporting, Operational Dashboards, Data Storytelling, Metric Standardization, Performance Monitoring, Interactive Reporting Databases & Data Platforms Relational Databases, Data Warehouses, Distributed Data Processing Environments, Azure Databricks, Google Cloud Platform (GCP), Query Optimization, Indexing Strategies, Schema Design, Cloud-Based Analytics Environments, Spark Analytics for Operations & Marketing Demand Forecasting, Pricing Analytics, Campaign Effectiveness Analysis, Process Optimization Analytics, Experimentation Analytics, Marketplace Analytics, Operational Performance Measurement, Budget Variance Analysis Tools & Platforms Git, JIRA, Confluence, SQL Schedulers, Reporting Automation Tools, Cloud-Based Analytics Environments AI & Generative AI Tools: Claude, ChatGPT, GitHub Copilot, AI-Assisted Code Generation, Prompt Engineering, Generative AI PROFESSIONAL EXPERIENCE

Slalom Jacksonville, FL Jan 2025 – Present

Data Analyst

• Analyzed multi-terabyte operational and marketing datasets using SQL, Python, and distributed processing platforms, improving demand forecasting reliability and marketing ROI by 28%; built automated anomaly detection queries to flag bottlenecks and cost anomalies in near real time, reducing revenue-impacting incidents by 20%.

• Developed regression models to isolate the impact of seasonal variables and marketing campaigns on pricing efficiency and customer acquisition; engineered feature datasets for predictive models, strengthening forecast stability and demand-supply balancing.

• Conducted A/B testing and analyzed large-scale operational and marketing initiatives, evaluating campaign effectiveness and process optimization experiments, identifying statistically significant outcomes that drove an 18% increase in operational efficiency, 15% improvement in marketing conversion rates, and 12% reduction in process cycle time.

• Analyzed marketing campaign performance metrics (open rates, CTR, conversion rates, MQL conversion, CAC, campaign ROI) and delivered marketing analytics dashboards enabling leadership to optimize campaign effectiveness, budget allocation, and customer segmentation strategies.

• Engineered Tableau and Power BI dashboards tracking operational and marketing health KPIs, improving leadership visibility by 35%; conducted UAT with cross-functional stakeholders to validate business logic, data accuracy, and user workflows, ensuring dashboards met production readiness standards and drove rapid stakeholder adoption.

• Developed automated operational and marketing reporting views integrating campaign performance, customer lifecycle data, process metrics, budget tracking, and cost allocation; orchestrated executive reporting pipelines using Python, Apache Airflow, and SQL stored procedures, reducing manual reporting workload by 50% while ensuring near real-time KPI availability.

• Used AI-powered tools for SQL optimization, Python debugging, documentation, and exploratory data analysis, accelerating development cycles while maintaining code reliability and analytical rigor across data pipeline and dashboard projects. Persistent Systems India Mar 2021 – Nov 2023

Data Analyst

• Processed structured and semi-structured datasets from CRM platforms and transactional systems using SQL, Python, and ETL tools; established automated data validation frameworks that improved reporting accuracy by 30% and reduced discrepancies by 35%.

• Integrated CRM and billing data with transactional systems to generate Salesforce-based performance reports tracking sales pipeline health, deal conversion rates, and quota attainment; delivered insights that enhanced forecast reliability and commercial decision-making.

• Built interactive dashboards monitoring customer engagement, revenue growth, operational throughput, and service performance metrics, enabling leadership to make data-driven strategic decisions across client portfolios.

• Executed statistical analysis, segmentation modeling, and cohort studies to identify high-value customer groups, enabling targeted retention strategies that improved engagement across enterprise platforms; partnered with cross-functional teams to translate business requirements into analytical models that improved operational workflow efficiency. Cybage Software India Apr 2019 – Feb 2021

Data Analyst

• Extracted and processed operational datasets using SQL, Excel automation, and ETL utilities; streamlined recurring reporting workflows through Python scripting and SQL scheduling, reducing manual preparation effort by 30%.

• Compiled and validated IT service KPI reports analyzing incident resolution times, MTTR, SLA compliance, and resource utilization; conducted root-cause analysis on service delays, improving reporting accuracy and operational reliability by 25%.

• Built and validated BI dashboards tracking IT service revenue, operational costs, project delivery efficiency, and resource allocation, supporting leadership reviews and capacity planning initiatives.

• Prepared recurring pipeline performance reports by validating billing data, timesheet records, and project transactions; generated trend analysis used in stakeholder presentations for resource planning and IT portfolio optimization. EDUCATION

Master of Science in Information Technology Aug 2025 Indiana Wesleyan University Indiana, USA

Bachelors of Technology in Computer Science Apr 2014 Jawaharlal Nehru Technological University Hyderabad (JNTUH) India

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