Data Analyst - SQL, Tableau, Power BI, ETL Specialist

Anuhya Juvvanthula

Mobile Number: 817-***-**** Email Id: ***************@*****.***

LinkedIn: https://www.linkedin.com/in/anuhya-juvvanthula-36a27324b/ PROFESSIONAL SUMMARY

Detail-oriented Business/Data Analyst with expertise in data analysis, dashboarding, and reporting to support business strategy and operational performance. Proficient in SQL, Excel, Tableau, and Power BI for analyzing large datasets, generating reports, and creating visualizations for stakeholders. Adept at transforming business requirements into analytical solutions that improve efficiency and drive data-driven decisions. TECHNICAL SKILLS

Programming & Query Languages: SQL, Python, PySpark, HiveQL Data Visualization & BI Tools: Power BI, Tableau, Excel, Dashboard Development, Data Visualization, KPI Tracking Databases & Data Warehousing: Snowflake, PostgreSQL, MySQL, SQL Server, BigQuery, Data Warehousing, Star Schema, Fact & Dimension Modeling

Statistical & Analytical Tools: Python (Pandas, NumPy, Scikit-learn), Statistical Analysis, Predictive Analysis, Forecasting, Trend Analysis, Data Mining

Data Processing & ETL: ETL / ELT Pipelines, Apache Airflow, dbt, Databricks, Data Transformation, Data Cleaning, Query Optimization, Data Validation, Data Quality Monitoring Business & Reporting Tools: Excel Advanced Functions, Business Intelligence Reporting, Stakeholder Reporting, CRM Analytics, KPI Reporting, Data Governance, Git, AWS (S3, EC2, ECS), Azure Data Lake EXPERIENCE

THE BEACHBODY COMPANY (BODI) – DATA ANALYST AUG 2025 – DEC 2025

• Designed and deployed interactive Tableau dashboards reports enabling executives to monitor KPI tracking, improving visibility into operational performance metrics by ~35%.

• Performed advanced SQL data analysis and trend analysis on transactional datasets containing 2M+ records to identify revenue patterns and support data-driven decision-making.

• Built automated ETL data transformation workflows using SQL and dbt to streamline data cleaning and reporting pipelines, reducing manual reporting effort by ~30%.

• Collaborated with cross-functional stakeholders to translate business requirements into scalable data modeling and business intelligence dashboards supporting strategic reporting.

• Implemented data validation and data quality monitoring frameworks using SQL scripts to ensure consistency and reliability of analytical datasets across reporting environments.

• Optimized complex SQL queries and data warehouse transformations, improving dashboard load performance by ~40%.

• Conducted stakeholder reporting and KPI analysis through Excel and BI dashboards, enabling leadership teams to track operational trends and marketing performance.

• Automated recurring reporting workflows using Python and SQL, reducing manual reporting cycles and improving data refresh reliability.

• Performed exploratory data mining and statistical analysis on customer engagement datasets to uncover behavioral trends and support marketing optimization initiatives.

Independent Project Experience Hyderabad, India

Data Analyst JULY 2023 – NOV 2023

• Built interactive dashboards in Tableau to help visualize important business and performance metrics, making it easier for teams to monitor goals and track progress.

• Used SQL to pull and analyze large datasets, helping uncover insights around user engagement and customer behavior.

• Spotted trends and patterns in program usage and user activity, which supported better decision-making across product and marketing teams.

• Worked closely with team members from marketing, product, and operations to understand what data they needed and delivered clear, actionable reports.

• Ensured data quality and accuracy in all reports by validating sources and applying data cleaning techniques.

• Supported ad-hoc reporting needs and contributed to improving data collection pipelines and reporting workflows PROJECTS

Sales & Business Performance Dashboard Power BI, SQL, Excel, TABLEAU 2025

• Developed a Power BI and Tableau dashboard integrating SQL warehouse data to track KPI metrics, sales trends, and revenue forecasting.

• Implemented automated data transformation and data cleaning processes improving reporting accuracy by 25%.

• Enabled executive stakeholder reporting with interactive data visualization dashboards supporting data-driven decisions. Modern SQL Data Warehouse Implementation snowflake, SQL, Airflow 2025

• Designed a scalable data warehousing architecture using snowflake and SQL with star schema data modeling.

• Built automated ETL pipelines using Airflow and dbt to transform raw datasets into analytics-ready tables.

• Implemented Slowly Changing Dimensions (SCD Type 2) and optimized warehouse queries improving reporting performance. Cybersecurity Threat Severity Prediction Python, Machine Learning 2024

• Built predictive analysis models using Random Forest and Decision Trees to classify cyber-attack severity levels.

• Conducted data cleaning, feature engineering, and statistical analysis on real-world cybersecurity datasets.

• Improved classification accuracy to ~99%, enabling improved threat detection and security prioritization. EDUCATION

Master of Science in Information Systems

University Of Texas at Arlington GPA:3.3/4.0

Relevant Course Work: Data Warehouse, Data Modeling, Data Analytics, DBMS, Python, Statistics. CERTIFICATIONS: Python and sql from coursera

Google Data Analytics Certificate, Microsoft Power BI Data Analyst, Tableau Data Analyst

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