Senior Data Analyst with Healthcare & BI Expertise

SAI TEJA

Denver, CO 347-***-**** **************@*****.*** Open to Relocation

PROFESSIONAL SUMMARY

Senior Data Analyst with 7+ years of experience delivering clean, reliable, and business-ready analytics across, healthcare technology, e-commerce operations customer experience, and banking. Strong hands-on expertise in Salesforce data workflows, Power BI, Tableau, SQL, Excel, and enterprise data validation. Known for maintaining high data accuracy, documenting processes clearly, and supporting stakeholders with dependable reporting.

TECHNICAL SKILLS

Analytics & BI: Power BI, Tableau, Excel, DAX, Power Query Databases & Warehousing: SQL Server, Snowflake, Oracle, MySQL Programming: SQL, Python

Cloud & Platforms: Azure, Databricks, Microsoft Fabric, AWS Big Data: Apache Spark, PySpark

Data Practices: Data Validation, Data Quality Checks, KPI Definition, Data Reconciliation, Root Cause Analysis

Analytics Methods: A/B Testing, Trend Analysis, Comparative Analysis Tools & Collaboration: Azure DevOps, JIRA, Git, SharePoint, ServiceNow PROFESSIONAL EXPERIENCE

Optum (Remote), Denver, CO

Senior Data Analyst Jan 2024 – Present

Worked closely with healthcare operations and technology teams to manage reporting datasets that support clinical performance, provider activity, and operational workflows, ensuring Salesforce aligned data structures were accurately reflected in downstream reporting.

Built and maintained Power BI dashboards for claims activity, provider metrics, and operational trends, improving reporting accuracy and leadership visibility by 35% across multiple healthcare programs.

Performed detailed data validation checks including record-level reviews, duplicate detection, and cross-system reconciliation to ensure healthcare data met strict accuracy and compliance expectations.

Supported Salesforce-driven data flows by validating object relationships, record types, and field-level data before reports were published for operational and regulatory use.

Reduced recurring data issues by 30% by documenting data entry standards, validation rules, and reporting logic used across healthcare dashboards.

Designed structured Power BI reports with filters, summaries, and drill-downs that allowed non- technical healthcare users to easily explore trends without manual support.

Improved dashboard refresh reliability and performance by 40% through optimized data models and streamlined Power BI queries aligned with source system behavior.

Acted as a point of contact for data discrepancies raised by operations teams, troubleshooting root causes and coordinating fixes with engineering and Salesforce support teams.

Maintained clear documentation for data definitions, report logic, and known limitations to support audit readiness and consistent usage across teams.

Partnered with business users to translate healthcare requirements into accurate reporting logic, ensuring KPIs reflected real operational processes rather than raw system outputs.

Assisted with onboarding and mentoring junior analysts, focusing on data accuracy, reporting discipline, and healthcare data handling best practices. Genpact Hyderabad, India

Data Analyst Jun 2021 – Apr 2023

Supported operations and reporting teams by maintaining clean, well-structured datasets aligned to Salesforce-style data models, ensuring accurate downstream reporting in Power BI.

Developed Power BI dashboards to track order volume, fulfillment performance, and operational KPIs, improving reporting turnaround time by 25% for regional leadership teams.

Performed regular data cleansing activities including duplicate checks, missing value analysis, and field-level validation before data was loaded into reporting layers.

Reduced manual reporting effort by 30% by standardizing KPI calculations, report templates, and refresh schedules used across operational dashboards.

Collaborated with business stakeholders to document reporting requirements, data definitions, and data entry standards to maintain consistency across teams.

Identified and resolved data inconsistencies by tracing issues back to source systems and validating how data flowed through reporting pipelines.

Improved reporting consistency across regions by 20% by aligning metrics definitions and validation logic used in Power BI dashboards.

Supported ad hoc analysis requests by quickly investigating data issues, validating results, and explaining findings in simple business language.

Maintained clear documentation for recurring reports and data processes to support handoffs, audits, and new analyst onboarding.

Concentrix Hyderabad, India

Associate Data Analyst Jun 2019 – May 2021

Supported customer operations and internal reporting teams by validating large datasets for accuracy, completeness, and consistency before dashboards were shared.

Built Power BI dashboards to monitor order processing, service metrics, and operational trends, improving visibility into performance by 28% for business users.

Conducted routine data quality checks including duplicate detection and reconciliation, reducing reporting errors by 22% prior to leadership reviews.

Assisted teams by documenting data entry guidelines and reporting standards to ensure consistent use of operational metrics.

Created reusable datasets and standardized Power BI reports that reduced ad hoc reporting turnaround time by 40%.

Supported UAT testing by validating report outputs against source data and confirming that dashboards matched business expectations.

Worked closely with operations stakeholders to explain data trends, resolve discrepancies, and ensure reports reflected real-world processes.

JP Morgan Chase Hyderabad, India

Jr. Data Analyst May 2018 – Dec 2018

Supported banking and finance teams by preparing Tableau dashboards focused on loan performance, transaction volumes, and portfolio health.

Improved data validation accuracy by 25% by reviewing financial datasets, identifying discrepancies, and coordinating corrections before reports were finalized.

Assisted senior analysts in defining consistent banking KPIs, contributing to a 20% improvement in report alignment across finance and risk teams.

Created Tableau visualizations with filters and summaries to help stakeholders quickly understand financial trends and exceptions.

Supported month-end and 15% regulatory reporting by validating data completeness and ensuring timely availability for reporting cycles.

Investigated data mismatches between source systems and Tableau outputs, helping resolve issues before executive distribution.

EDUCATION

Master of Science in Business Analytics

St. Francis College New York Aug 2024

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