Sandhiya Suresh

Data Analyst

Open to offers · Member since 8 Sep 2026

Message

Location: Chennai, India

Desired salary: Confidential

Work preference: Remote Only / Full Time

Experience level: Mid

About

Professional summary

I am a Data Analyst with 4 years of experience in data analysis, reporting, dashboard development, and database management. I work with complex multi-source datasets to deliver accurate, actionable insights for business stakeholders.

I am skilled in SQL, MySQL, ETL processes, data warehousing, and data cleansing. I gather, validate, transform, and maintain data from primary and secondary sources to support reliable analytics and reporting.

I build interactive dashboards and reporting solutions using Power BI, DAX, Power Query, Advanced Excel, and Tableau. My work helps teams monitor KPIs, identify trends, and make informed operational and strategic decisions.

I use Python, Pandas, and NumPy to automate recurring reporting and data manipulation tasks. I have improved reporting efficiency by replacing manual workflows with repeatable automated processes.

I have practical experience in statistical analysis, exploratory data analysis, trend detection, anomaly identification, customer churn analytics, sales analytics, and sentiment analysis. I am also comfortable communicating complex findings through clear reports and executive presentations.

At HCLTech, I have been recognized with the Best Performer Award for four consecutive quarters for analytical accuracy, dashboard governance, reporting quality, and cross-functional business impact. I am based in Chennai, India, and open to relocation.

Notice period: Immediately

Skills

19 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Analyst – Data & Analytics HCLTech

Jun 2022 – Present

Gather data from more than 65 primary source systems and maintain underlying databases to ensure consistent, accurate data for analytics and reporting. Perform data cleansing, structured audits, error detection, and correction across complex multi-source operational datasets.

Analyze trends, patterns, anomalies, and system-performance indicators using statistical techniques, including identifying issues multiple cycles in advance. Work with SQL and ETL processes to extract, transform, and manipulate large-scale operational data.

Develop dashboards, charts, and visual reporting assets using Power BI, DAX, Power Query, and Advanced Excel. Automated more than six previously manual reporting workflows to improve consistency, speed, and report turnaround time.

Collaborate with managers and cross-functional stakeholders to define data requirements, align reporting with business priorities, and present executive-ready findings in clear, non-technical language.