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I am an analytical and results-driven Data Analyst with 4.5 years of experience transforming complex datasets into actionable insights across retail and IT domains. I am proficient in Power BI, Tableau, SQL, and Python, with proven ability to build data models, automate reporting, and deliver clear business recommendations that drive process improvements and strategic decisions. I have experience working with large, multi-source datasets to enhance data reliability and visibility for business teams, and I excel at cross-functional collaboration, stakeholder engagement, and communicating technical findings to non-technical audiences.…I am an analytical and results-driven Data Analyst with 4.5 years of experience transforming complex datasets into actionable insights across retail and IT domains. I am proficient in Power BI, Tableau, SQL, and Python, with proven ability to build data models, automate reporting, and deliver clear business recommendations that drive process improvements and strategic decisions. I have experience working with large, multi-source datasets to enhance data reliability and visibility for business teams, and I excel at cross-functional collaboration, stakeholder engagement, and communicating technical findings to non-technical audiences.

Prathepa Dhanasekar

Data Analyst, Data Scientist, Data Visualizer, +5

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I am an analytical and results-driven Data Analyst with 4.5 years of experience transforming complex datasets into actionable insights across retail and IT domains. I am proficient in Power BI, Tableau, SQL, and Python, with proven ability to build data models, automate reporting, and deliver clear business recommendations that drive process improvements and strategic decisions. I have experience working with large, multi-source datasets to enhance data reliability and visibility for business teams, and I excel at cross-functional collaboration, stakeholder engagement, and communicating technical findings to non-technical audiences.…I am an analytical and results-driven Data Analyst with 4.5 years of experience transforming complex datasets into actionable insights across retail and IT domains. I am proficient in Power BI, Tableau, SQL, and Python, with proven ability to build data models, automate reporting, and deliver clear business recommendations that drive process improvements and strategic decisions. I have experience working with large, multi-source datasets to enhance data reliability and visibility for business teams, and I excel at cross-functional collaboration, stakeholder engagement, and communicating technical findings to non-technical audiences.

Available to hire

I am an analytical and results-driven Data Analyst with 4.5 years of experience transforming complex datasets into actionable insights across retail and IT domains.

I am proficient in Power BI, Tableau, SQL, and Python, with proven ability to build data models, automate reporting, and deliver clear business recommendations that drive process improvements and strategic decisions. I have experience working with large, multi-source datasets to enhance data reliability and visibility for business teams, and I excel at cross-functional collaboration, stakeholder engagement, and communicating technical findings to non-technical audiences.

Skills

Experience Level

Expert

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Language

Work Experience

Business Intelligence Developer at Skechers (US)

June 1, 2023 - June 1, 2023

Developed and maintained interactive dashboards and BI reports using Power BI, Tableau, Incorta, SSRS, SQL, and Python, delivering real-time visibility into business KPIs. Collected, cleaned, and analyzed multi-source data with 99% data accuracy for operational and strategic reporting. Wrote and optimized SQL queries and stored procedures, improving query performance and reducing data retrieval time by 30%. Built and automated ETL pipelines using Databricks and Snowflake, minimizing manual reporting effort by 40% and enhancing data quality. Created data models, datamarts, and materialized views to support analytics and data warehousing architecture, improving reporting accuracy, system scalability, and data integrity. Ensured GDPR compliance and alignment with internal data governance policies. Delivered KPI-driven dashboards that reduced decision turnaround time by 25%. Collaborated with data engineers, product, and business teams to translate insights into clear recommendations that

Support Executive at Nielsen Company (US) LLC

November 1, 2021 - November 1, 2021

Provided data support and application maintenance for global reporting systems, ensuring 100% SLA compliance and 99% data accuracy. Managed data cleansing, SQL validations, and user access for global accounts via LDAP/JXplorer and ServiceNow, ensuring data reliability and security. Investigated data discrepancies and system issues to identify recurring trends, reducing downtime by 20%. Automated bulk SQL workflows and notifications, reducing manual effort by 30 hours/month in user and order management. Documented and resolved data incidents with engineering collaboration. Led high-severity incident calls, achieving average resolution time under SLA by 40%. Project – Retail Sales Promotion Performance: Built an interactive Power BI dashboard to analyze sales promotion performance and regional impact; developed SQL queries to calculate metrics such as 15% sales uplift, discount impact, and regional trends; automated recurring analysis reports, saving 10+ hours per week.

Business Intelligence Developer at Tata Consultancy Services Ltd.

June 1, 2023 - June 1, 2023

Developed and maintained interactive dashboards and BI reports using Power BI, Tableau, Incorta, SSRS, SQL, and Python, delivering real-time visibility into KPIs for Skechers. Collected, cleaned, and analysed multi-source data, achieving 99% data accuracy for operational and strategic reporting. Wrote and optimised SQL queries and stored procedures, improving query performance and reducing data retrieval time by 30%. Built and automated ETL pipelines using Databricks and Snowflake, minimizing manual reporting by 40% and enhancing data quality. Created data models, datamarts, and materialized views to support analytics and data warehousing, improving reporting accuracy, scalability, and data integrity. Conducted data validation and cleansing to maintain >99% accuracy. Identified trends and anomalies to support data-driven recommendations for process optimization. Performed ad-hoc analyses to assist business teams with operational and strategic initiatives, delivering actionable insights

Support Executive at Tata Consultancy Services Ltd.

November 1, 2021 - November 1, 2021

Provided data support and application maintenance for global reporting systems, ensuring 100% SLA compliance and 99% data accuracy. Managed data cleansing, SQL validations, and user access for multiple global accounts via LDAP/JXplorer and ServiceNow, ensuring data reliability and security. Investigated data discrepancies and system issues to identify recurring trends, reducing downtime by 20%. Automated bulk SQL workflows and notifications, saving approximately 30 hours per month in user and order management. Documented and resolved data incidents with engineering collaboration. Led high-severity incident calls, achieving average resolution times under SLA with clear stakeholder communication. Led the Retail Sales Promotion Performance project: built an interactive Power BI dashboard to analyze sales promotion performance and regional dynamics, developed SQL queries to calculate metrics such as 15% uplift and discount impact, and automated recurring analysis reports, saving 10+ hours