Kinza Shahzad
Kinza Shahzad

Senior Data Analyst

Actively looking · Member since 22 Oct 2026
Location
Irvine, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a results-driven Data Analyst with more than seven years of FinTech experience in data analytics, business intelligence, reporting automation, and data warehousing. I turn complex customer, transaction, financial, and operational data into practical insights that support better business decisions.

I specialize in SQL, Python, statistical analysis, predictive modeling, A/B testing, KPI development, and dashboard design. I have extensive experience building analytics-ready datasets and presenting clear, actionable findings to leadership and cross-functional stakeholders.

I build and maintain Tableau and Power BI dashboards, automated ETL/ELT pipelines, and scalable reporting solutions. My work has improved data freshness, strengthened data quality, reduced manual reporting effort, and enabled timely visibility into operational and financial performance.

I have worked with cloud and warehouse technologies including Snowflake, AWS, Redshift, PostgreSQL, MySQL, Airflow, dbt, and PySpark. I am also experienced with machine learning workflows for classification, regression, clustering, forecasting, segmentation, and customer analytics.

I collaborate closely with BI, engineering, product, and business teams to translate requirements into reliable data products. My FinTech experience includes client reporting, reconciliation, billing analysis, transaction visibility, revenue reporting, and analytics delivery for global financial organizations.

Skills

24 capabilities

Tech stack & tools

Working toolkit

Application Utilities

Collaboration

Data Stores

Development

Languages & Frameworks

Libraries

Experience

Career history

Senior Data Analyst Tekhqs Inc

Lead deep-dive analysis of customer, transactional, financial, and operational data for i2c Inc, identifying trends, performance drivers, and actionable business insights. Develop Tableau and Power BI dashboards, KPI frameworks, financial reports, and operational reporting solutions for leadership and cross-functional stakeholders.

Use SQL, Snowflake, Python, dbt, AWS, and Airflow to build analytics-ready datasets and automate ETL and reporting workflows for more than 130 FinTech clients. Conduct statistical analysis, predictive modeling, and A/B testing; support SAP data extraction, validation, reconciliation, and billing analysis; and deliver reporting for clients including QNB, Comerica, DoorDash, Uber, and Payoneer.

Data Analyst Tekhqs Inc

Developed scalable ETL pipelines to summarize large financial datasets for client reporting. Integrated Snowflake, AWS Redshift, and Amazon S3 to create cloud data warehouse solutions supporting enterprise analytics.

Performed exploratory analysis on large-scale financial data to identify trends, patterns, and anomalies for executive decision-making. Automated dbt ELT pipelines handling billions of transaction records, improving data freshness and reducing manual effort, and created Tableau and Power BI dashboards from curated dbt marts and Snowflake reporting datasets.

BI Engineer Tekhqs Inc

Developed and scheduled operational reports, dashboards, and ETL workflows while maintaining data quality standards. Partnered with business and technical teams to understand WMS data flows, operational processes, and reporting requirements, translating them into BI solutions.

Built Java and Python utilities that automated report formatting and scripting, and automated invoice generation and billing processes based on client contracts. Developed financial reconciliation reporting for MasterCard, Visa, and Discover; delivered Tableau dashboards and revenue reporting; built machine learning models using scikit-learn and AWS SageMaker; and supported QNB FIFA 2022 payment integration reporting.

Education

Learning history

FAST NUCES, Lahore

MS, Data Science

University Of Central Punjab, Lahore

BS, Computer Science

Specialization in Machine Learning, Natural Language Processing, and Information Retrieval. Dean's List, Fall 2019.

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