Data Analyst - Tableau & SQL Expert with 5 Years Experience

SWETHA REPALA

Data Analyst

+1-331-***-**** ****************@*****.***

www.linkedin.com/in/r-swetha-625850219

PROFESSIONAL SUMMARY

Data Analyst with Around 5 years of extensive experience in the IT industry, specializing in data analysis, Tableau

reporting, and data visualization to support data-driven business decision-making. Strong experience working in

Agile environments, contributing to design documentation, testing, and migration of solutions from development

to production. Proven ability to collaborate with business users and stakeholders to analyze business processes,

gather and document requirements, perform design analysis, and develop, test, and validate BI reports and

dashboards. Highly skilled in working with large volumes of structured and unstructured data using SQL and

Tableau, with a proven track record of delivering 350+ worksheets and 60+ interactive dashboards in enterprise BI

environments, including KPI scorecards, bar and stacked charts, scatter plots, geographical maps, and Gantt

charts. Hands-on experience in data analysis and data profiling using complex SQL across Oracle, Microsoft SQL

Server, MySQL, and PostgreSQL, along with strong expertise in ETL processes and data integration from

heterogeneous sources such as flat files, Excel, and relational databases. Possess a solid understanding of data

warehousing concepts, RDBMS principles, SQL/PL-SQL, data quality, data migration, metadata management, and

configuration management, and recognized as self-driven, collaborative, and client-focused, consistently delivering

high-quality, business-aligned analytics solutions.

SKILLS & QUALIFICATIONS

• Programming Languages: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn, SciPy), R (ggplot2, dplyr), Shell

scripting

• Data Analysis & Statistical Techniques: Exploratory Data Analysis (EDA), A/B Testing, Hypothesis Testing,

Regression Modeling, Time Series Forecasting, Statistical Inference

• Data Visualization & Reporting: Tableau, Power BI, Looker, Excel (Advanced Formulas, Pivot Tables,

VLOOKUP, Macros)

• Database & Data Engineering: MySQL, PostgreSQL, Oracle, MongoDB, Snowflake, ETL Pipelines, Apache

Airflow, dbt

• Business Intelligence & Tools: KPI Development, Dashboard Automation, Reporting Automation, Data

Storytelling, Business Case Analysis, Google Analytics

• Data Governance and Compliance: Data Security, Data Quality Assurance, Metadata Management, Data

Governance

• Cloud & Big Data Technologies: AWS (Redshift, S3, Athena), Azure Data Studio, Hadoop, Spark (for larger data

environments)

• Version Control & Collaboration: Jupyter Notebook, Git/GitHub, Jira, Confluence, Agile/Scrum Methodologies

• Soft Skills: Critical Thinking, Problem Solving, Communication, Stakeholder Engagement, Cross-Functional

Collaboration, Attention to Detail, Adaptability

PROFESSIONAL EXPERIENCE

Data Analyst Feb 2024 – Present

UHG, Minneapolis, MN

Responsibilities:

• Analyzed large-scale healthcare datasets including claims, provider, member, and enrollment data using

complex SQL queries across Oracle, SQL Server, and PostgreSQL environments.

• Developed and maintained interactive Tableau dashboards and KPI scorecards to track healthcare

performance metrics such as utilization, cost trends, provider efficiency, and member outcomes.

• Built 350+ Tableau worksheets and 60+ enterprise dashboards using advanced visualizations including

stacked bars, scatter plots, geographic maps, trend lines, and Gantt charts.

• Performed real-time and near real-time data analysis to support operational monitoring and timely decision-

making for healthcare programs.

• Partnered with business users, product owners, and clinical stakeholders to gather requirements, document

business rules, and translate them into analytical solutions.

• Conducted data profiling, validation, and reconciliation to ensure accuracy, completeness, and consistency of

healthcare data across multiple source systems.

• Created optimized SQL queries, views, and stored logic to improve dashboard performance and reduce

report execution time.

• Supported Agile/Scrum methodology, actively participating in sprint planning, daily stand-ups, backlog

grooming, UAT, and production deployments.

• Performed trend analysis, variance analysis, and root-cause analysis to identify cost drivers, utilization

anomalies, and performance gaps.

• Ensured HIPAA compliance and data security standards while handling sensitive healthcare and member

data.

• Collaborated with ETL and data engineering teams to troubleshoot data issues, validate data pipelines, and

ensure reliable data delivery.

• Assisted in migration of reports from development to production, validating metrics and ensuring

stakeholder sign-off.

• Created and maintained technical documentation for data sources, KPI definitions, dashboard logic, and

reporting workflows.

• Delivered ad-hoc analysis and executive-ready reports, presenting insights through clear data storytelling for

non-technical audiences.

• Monitored production reporting pipelines, troubleshooting data issues and performing root-cause analysis

to minimize reporting disruptions.

• Collaborated with data engineering and BI teams to improve data availability, performance, and report

reliability.

• Implemented data governance and security standards, ensuring appropriate access controls and audit-ready

analytics.

• Automated data cleansing and pre-processing tasks using Python (Pandas), reducing manual effort and

turnaround time.

• Presented analytical findings to non-technical stakeholders using clear narratives and visual storytelling.

• Actively participated in Agile ceremonies, contributing to sprint planning, requirements refinement, and

continuous improvement.

Environment: SQL, Python (Pandas, NumPy), Power BI, Healthcare Data, ETL Pipelines, Data Validation, Data Quality

Checks, Dimensional Modeling, Star Schema, Snowflake Schema, KPI Reporting, Ad-hoc Analysis, Exploratory Data

Analysis (EDA), Cloud Data Platforms, Structured & Semi-Structured Data, HIPAA Compliance, Agile/Scrum, JIRA

Data Analyst May 2022 - Jan 2023

Cognizant Technology Solutions, Hyderabad, India

Responsibilities:

• Analyzed enterprise and healthcare datasets using SQL to support operational, financial, and management

reporting.

• Worked closely with business users to understand reporting needs and translate them into analytical

queries and dashboards.

• Ensured adherence to data security and organizational governance standards.

• Performed data profiling, validation, and reconciliation to ensure high-quality data across staging and

reporting layers.

• Documented report definitions, data logic, and business rules for long-term maintainability.

• Participated in Agile sprint activities, supporting timely delivery of analytics solutions.

• Developed and maintained Power BI reports that visualized KPIs, trends, and performance metrics for

stakeholders.

• Optimized SQL queries to improve report performance and reduce execution time.

• Supported incremental and historical data analysis, ensuring continuity and accuracy in business reports.

• Delivered ad-hoc analytical insights to support audits, reviews, and management decision-making.

• Collaborated with QA teams to validate data accuracy before reports were released to production.

• Conducted historical trend analysis and period-over-period comparisons to support business

performance evaluations.

• Created standardized reporting templates to improve consistency, accuracy, and reusability of analytical

outputs.

• Supported data audits by validating metric calculations, source mappings, and report logic.

• Improved report reliability by identifying and resolving data anomalies before stakeholder delivery.

• Assisted in building analytical datasets by integrating data from multiple source systems.

• Applied data quality rules to identify missing, duplicate, and inconsistent data.

• Partnered with technical and non-technical stakeholders to explain data findings, assumptions, and

limitations.

• Automated basic data preparation tasks using Python to improve efficiency.

Environment: SQL, Power BI, Python, ETL Processes, Data Profiling, Data Reconciliation, Data Quality Frameworks,

Healthcare & Enterprise Data, Reporting & Dashboards, Incremental & Historical Data Analysis, Root Cause Analysis,

Ad-hoc Reporting, Excel, Agile Methodology, QA Validation, Business Requirement Analysis, Data Governance

Data Analyst Mar 2020 – April 2022

Tata Consultancy Services Limited, India

Responsibilities:

• Analyzed business and operational data using SQL and Excel to support management reporting and

process optimization.

• Developed interactive Power BI dashboards to visualize KPIs, trends, and performance indicators for

business teams.

• Delivered ad-hoc analysis to support business reviews and operational decisions.

• Performed data cleaning, transformation, and validation to ensure accurate and reliable reporting.

• Supported data warehouse reporting by creating analytical views and optimized query logic.

• Conducted trend analysis and comparative analysis to identify performance gaps and improvement

opportunities.

• Worked with cross-functional teams to understand data requirements and reporting expectations.

• Assisted in building standardized reports used across multiple business units.

• Performed root-cause analysis on report mismatches and data inconsistencies.

• Conducted detailed data analysis to support process improvement initiatives and management decision-

making.

• Built automated reports and dashboards to reduce manual reporting effort and improve data timeliness.

• Performed cross-functional data analysis by integrating datasets from multiple departments.

• Identified data gaps and quality issues, recommending corrective actions to improve report accuracy.

• Assisted senior analysts in delivering executive-level insights through clear visualizations and concise data

narratives.

• Supported UAT and production reporting by validating data completeness and metric accuracy.

• Prepared documentation explaining data sources, calculations, and report assumptions.

• Followed Agile and SDLC best practices while delivering analytics and reporting solutions.

Environment: SQL, Power BI, Excel, Data Analysis, Data Cleaning & Transformation, Reporting & Visualization, KPI

Dashboards, Data Warehouse Reporting, Analytical Views, Trend Analysis, Business Intelligence, UAT Support, SDLC

EDUCATION

Master of Science in Business Analytics Lewis University — Romeoville, IL March 2023 - dec 2024

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