Data Analyst Analysis

Summary

Detail-oriented Data Analyst with over 6 year of experience in leveraging Structured Query Language (SQL) and advanced analytical tools such as Tableau, and Azure Data Factory. Proven track record in performing Exploratory Data Analysis (EDA), ensuring data integrity, and delivering actionable insights that drive business decisions. Adept at collaborating with cross-functional teams to identify data challenges and implement effective solutions.

Data Analysis Tools: Proficient Tableau for data visualization and analysis.

Database Management: Experienced with SQL for querying and managing relational databases.

Data Warehousing: Skilled in Snowflake for cloud data storage and processing.

Data Integration: Knowledgeable in Azure Data Factory for ETL processes and data pipeline creation.

Data Quality Monitoring: Familiar with data observability platforms for tracking and ensuring data accuracy.

Programming Languages: Basic knowledge of Python

Statistical Analysis: Competent in using statistical methods to derive insights from data.

Project Management Tools: Experience with Agile methodologies and tools like Jira for project tracking and collaboration.

Reporting and Visualization: Ability to create insightful dashboards and reports for stakeholder presentations.

Skills

SQL

ETL

Flask

AWS and GCP

SQL and Databases

Power BI

MySQL

Tableau

NoSQL Databases

Python

HTML and CSS

EXCEL

Experience

Data Engineer/ETL Specialist, WAGEUP October 2024 – Present

Develop and Maintain ETL Pipelines: Design, implement, and optimize Extract, Transform, and Load (ETL) processes to manage and transform large datasets efficiently using Python and SQL.

Data Integration and Management: Integrate data from multiple sources, ensuring consistency, accuracy, and accessibility for business intelligence and reporting purposes.

Advanced Data Analysis: Leverage Python libraries like Pandas, NumPy, and Matplotlib for data wrangling, analysis, and visualization to support data-driven decision-making.

Automation of Data Workflows: Build and automate scalable data workflows and scripts to streamline repetitive tasks and enhance productivity in data handling and reporting.

Collaborate Across Teams: Work closely with data scientists, analysts, and business stakeholders to understand data needs, troubleshoot issues, and deliver tailored data solutions.

Data Analyst, ACCENTURE 07/2018 - 11/2023

Conducted Exploratory Data Analysis (EDA) on new and existing datasets using SQL, providing actionable insights and detailed documentation of data findings.

Processed, cleansed, and ensured the integrity of data used for analysis, contributing to high-quality data-driven decision-making with tools like Python

Performed ad-hoc analyses, presenting results through clear visualizations and reports tailored for diverse stakeholders using Tableau and Power BI.

Assisted in the development and maintenance of data quality monitors within a data observability platform, enhancing data reliability and trustworthiness.

Collaborated with product managers to track and analyze usage metrics across data assets, driving continuous improvement initiatives through effective data visualization.

Worked with cross-functional teams to identify and resolve data-related issues, documenting potential solutions to optimize data processes.

Supported Data Managers in testing new data assets, ensuring alignment with business objectives and quality benchmarks.

Leveraged SQL and Tableau for data analysis, reporting, and creating interactive dashboards that facilitate data-driven insights.

Education

Postgraduate Certification, Data Science and Business Analytics

Mccomb School of Business UT AUSTIN

Master of Science, Software Engineering (MSSE)

Institute of Business and Technology - BIZTEK

Bachelor of Science, Computer Science (BSCS)

Jinnah University

Certifications

AWS Certified Cloud Practitioner, 09/01/2023, Amazon Web Services

ICAGILE Certified ICP, International Consortium for Agile

References

Available upon request

Alia Younus

914-***-**** • **********@*****.*** • Houston, TX

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