Senior Data Analyst SQL, Python, Tableau

Pradeep Yammoji

Email: **************@*****.***

Mobile: +1-945-***-****

LinkedIn: www.linkedin.com/in/pyamm

Senior Data Analyst

PROFESSIONAL SUMMARY

●Data Analyst with 5 years of experience translating datasets into validated reporting dashboards and insights for finance, healthcare and technology stakeholders in regulated environments.

●Skilled in SQL, Python, Power BI, Tableau, Excel, and data quality methods supporting business intelligence, governance, automation, stakeholder reporting, and decision-making across enterprise teams.

●Experienced with requirements gathering, data validation, KPI reporting, and stakeholder communication across financial services, healthcare operations, and enterprise analytics environments with documented business rules.

●Adept at improving data models, ETL workflows, and visualization assets while maintaining documentation, accuracy, compliance awareness, and reusable analytical standards for scalable delivery practices.

TECHNICAL SKILLS

●Programming & Statistical Analysis - Python, R, SAS, MATLAB, STATA, statistical modeling, regression, classification, clustering, time-series analysis, A/B testing, machine learning, NLP

●Cloud & Big Data Platforms - AWS, Azure, GCP, Hadoop, Spark, S3, Databricks

●Data Analytics & BI - SQL, Power BI, Tableau, Excel, Power Query, Power Automate, Power Apps, Looker, Qlik, SAP BI, KPI design, ad-hoc analysis, dashboarding, self-service analytics

●Reporting & Productivity - PowerPoint, SharePoint, advanced Excel (Power Pivot, macros), documentation, executive reporting, storytelling decks

●Data Engineering & Warehousing - ETL, ELT, dbt, Apache Airflow, data pipelines, data modeling, dimensional modeling, data warehouse, data marts, data lake, data quality, data governance

●Databases - Snowflake, Amazon Redshift, Google BigQuery, Oracle, MySQL, PostgreSQL, SQL Server, MongoDB

●Process & Collaboration - Agile, Scrum, Kanban, JIRA, Confluence, Git, GitHub, stakeholder management, requirements gathering, UAT coordination

PROFESSIONAL EXPERIENCE

American Express

June 2024 – Present

Sr. Data Analyst

New York, NY, USA

●Designed financial reporting dashboards with SQL and Power BI, aligning risk metrics, KPI definitions, and executive reporting standards across regulated business functions and controls.

●Engineered Snowflake data models and ETL workflows, improving data quality, validation, and reusable reporting logic for financial analysis, governance, auditability, and cross-team delivery outcomes.

●Analyzed transaction, customer, and fraud datasets with Python and Excel, producing actionable insights that strengthened risk monitoring and stakeholder decision-making across portfolios and segments.

●Standardized documentation, requirements gathering, and UAT processes through Jira and Confluence, increasing reporting consistency across analytics delivery cycles and audit reviews for senior stakeholders.

Norton Healthcare

August 2023 – May 2024

Data Analyst

Louisville, KY, USA

●Configured Epic and SQL reporting datasets to validate clinical, claims, and revenue cycle metrics, improving healthcare analytics accuracy for operational stakeholders and managers.

●Automated recurring Power BI dashboards and Excel reporting workflows, reducing manual reconciliation while improving visibility into patient operations, service metrics, planning, and operational decisions.

●Validated HIPAA-aligned data quality rules, source mappings, and dashboard outputs, strengthening trusted reporting for healthcare compliance, operational leadership, audit reviews, and management decisions.

●Streamlined Tableau visualizations and KPI scorecards from clinical data, enabling clearer trend analysis, performance monitoring, stakeholder communication, departmental planning, reviews, and decision support needs.

IBM

November 2020 – Dec 2022

Data Analyst

Hyderabad, India

●Integrated SQL, Python, and Databricks workflows to prepare enterprise datasets, improving analytics readiness, documentation, and repeatable reporting delivery for IBM stakeholders across delivery teams.

●Optimized ETL pipelines and dbt transformations, strengthening governed data warehouse structures for scalable business intelligence, data modeling, dashboard development, standards, adoption, and reuse practices.

●Translated business requirements into Agile analytics deliverables with Jira, improving stakeholder alignment, acceptance testing, and measurable reporting outcomes across project teams and release planning.

●Produced Tableau and Power BI dashboards from curated metrics, enabling enterprise leaders to monitor performance, detect trends, and improve analytical decision-making confidently across functions.

EDUCATION

●Master's in Computer Science - Eastern Illinois University

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