Senior Data & Business Analyst with 9+ Years Experience

Meera R Krishnan

Email: *********@*****.*** Phone: 901-***-****

Results-oriented Data & Business Analyst with 9+ years of experience transforming complex datasets into actionable insights. Global expertise across healthcare, workforce analytics, and higher education in the U.S. and SE Asia. Proven track record in designing robust data models and streamlining warehouse processes to drive operational efficiency. Skilled in SQL data analysis, business intelligence, predictive analytics, Python, R, Power BI, Tableau, and cloud data platforms with experience building dashboards, performing statistical analysis, and developing predictive models. Global expertise with proven track record delivering data-driven insights across healthcare, workforce analytics, and higher education sectors. Expert in designing robust data models and streamlining data warehouse processes to optimize system performance. Adept at bridging the gap between technical requirements and stakeholders’ needs to deliver high-impact, data-driven solutions.

Technical Skills

Programming & Query Languages: R, Python, SQL, Java

Data Analysis & Statistical Tools: R, Stata, SAS, Excel

Data Visualization & BI Tools: Tableau, Power BI, Excel

Data Engineering & Databases: Snowflake, SQL, ETL Pipelines

Cloud Platforms: AWS, Azure, Google Cloud Platform

Bioinformatics Tools: MEGA7, UCSF Chimera, Discovery Studio, Clustal Omega, BioEdit

Software: Microsoft Office Suite, Adobe Photoshop

Industry Expertise

Data Mining, Machine Learning, Data Analytics, Business Intelligence, Artificial Intelligence, Cloud Computing

Data mapping and transformation, relational database querying, SDLC, project management

EHR systems, healthcare domain and data standards, HIPAA Compliance and interoperability

Professional Experience

Senior Data Analyst Recruitment and Workforce Analytics

NEC Henniker, NH January 2024 – Present

Analyzed 10K+ recruitment and workforce records using SQL, R and Excel to identify hiring trends and operational inefficiencies.

Designed automated reporting workflows reducing manual HR reporting time by 40%.

Built interactive Power BI dashboards tracking recruitment KPIs including time-to-hire, candidate conversion rates, and placement success metrics.

Developed SQL-driven workforce analytics dashboards analyzing recruitment pipeline performance.

Improved hiring efficiency by 18% through data-driven insights and recruitment pipeline optimization.

Performed data extraction, transformation, and validation across multiple datasets ensuring high data integrity.

Delivered executive-level reports translating complex analytics into actionable business recommendations.

Senior Data Analyst Healthcare Operations Analytics

Onsemi Fishkill, NY March 2022 – Dec 2023

Analyzed large-scale datasets from semiconductor-enabled healthcare devices including imaging sensors, biosensors, and wearable monitoring systems to identify performance trends and anomalies.

Developed automated data pipelines using SQL and Python to process and validate healthcare-related sensor data, improving data processing efficiency and accuracy.

Built interactive dashboards in Power BI/Tableau to track device performance metrics and communicate insights to engineering and healthcare research teams.

Performed statistical and exploratory data analysis (EDA) on medical sensor data to support improvements in semiconductor components used in diagnostic and patient monitoring technologies.

Improved sensor data processing efficiency by 30%.

Reduced reporting time by 25% through automated dashboards.

Collaborated with cross-functional teams (R&D, product engineering, and healthcare partners) to translate analytical insights into product and design improvements.

Implemented data quality checks and anomaly detection models to ensure reliability of datasets used in healthcare device validation.

Supported compliance with healthcare data standards and regulatory considerations during analysis and reporting processes.

Prepared technical reports and data visualizations to present findings to internal stakeholders and external healthcare collaborators.

Senior Data Analyst Cloud Business Intelligence Platform

Onsemi (formerly ON Semiconductor) Malaysia April 2021 – Jan 2022

Designed and implemented a cloud-based data warehouse architecture using Snowflake, integrating datasets from admissions, finance, and operational systems to create a centralized analytics environment.

Built ETL workflows and data pipelines using SQL and cloud data integration tools to consolidate and transform structured data from multiple sources, improving data accessibility and reporting efficiency.

Developed interactive executive dashboards in Microsoft Power BI to monitor KPIs including enrollment performance, revenue metrics, and operational indicators across multiple academic programs.

Optimized data models and query performance within the Snowflake environment, enabling faster dashboard refresh times and improved analytics performance for reporting teams.

Collaborated with stakeholders across admissions, academic management, and finance teams to translate business requirements into scalable data models and analytics solutions.

Automated recurring reporting processes and dashboard updates, reducing manual reporting effort by approximately 30–40% and enabling leadership to monitor real-time business performance.

Produced executive analytics reports and visualizations to support strategic planning, program performance evaluation, and data-driven decision making.

Data Analyst Sales & Revenue Analytics Dashboard

Sunway Malaysia Jan 2017 – Mar 2021

Analyzed 30K+ student enrollment and tuition revenue records across pre-university, diploma, and undergraduate programs using SQL, Excel, and data analysis techniques to identify revenue drivers and enrollment trends.

Designed and implemented interactive Power BI dashboards visualizing revenue growth, program performance, regional student enrollment distribution, and profitability across academic offerings.

Performed data cleaning, transformation, and validation on large datasets from admissions, finance, and student information systems to ensure accurate KPI reporting and revenue forecasting.

Conducted trend analysis and cohort-based enrollment analytics to support strategic planning for program expansion and marketing investment.

Collaborated with academic leadership, admissions teams, and finance departments to translate analytics findings into actionable insights that improved student recruitment strategies.

Automated recurring reporting workflows and dashboard refresh cycles, reducing manual reporting time by ~35% and enabling leadership to monitor enrollment and revenue performance in near real time.

Generated executive-level analytics reports summarizing key performance indicators including tuition revenue growth, program demand, and student retention metrics.

Education

Master of Computer Science University of Technology Malaysia (UTM) 2016-2019

Developed a data analytics dashboard using Python, SQL, and Power BI to analyze large datasets and visualize key business metrics.

Designed relational databases and complex SQL queries as part of database systems coursework.

Developed course materials for Data Analytics in Healthcare, Cloud Computing, Intro to Programming Logic

Designed a Quick Response (QR) attendance system.

Bachelor of Science in Microbiology University of Malaya (UM) 1999-2003

Thesis: Antibiotic Resistance of Aeromonas sp.

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