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Data Analyst, Card Analytics & Infrastructure Resume

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Chicago, IL

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SUMMARY

  • Skilled data analyst in the finance industry with 4+ years of experience in analyzing large datasets and presenting recommendations to non - technical audience.
  • Technically adept in SQL, Snowflake, Python, PySpark, Pandas, Databricks, AWS cloud (S3, Redshift and QuickSight).

PROFESSIONAL EXPERIENCE

Confidential, Chicago, IL

Data Analyst, Card Analytics & Infrastructure

Responsibilities:

  • Solved problems, increased efficiencies, improved processes, and implemented marketing campaigns.
  • Wrote software to clean and investigate large datasets, operating across millions of customer records, to unlock opportunities helping everyday people save money and time in their financial lives.
  • Built dashboards in Confidential QuickSight to provide business intelligence on active partners, open accounts, fraud accounts, and marketing eligible accounts.
  • Collaborated with intent owners, product owners, data analysts, data scientists, team leaders, and process managers to deliver better customer experience.

Environment: Snowflake, Confidential S3, Confidential Redshift, AWS, Confidential QuickSight, SQL Workbench, PostgreSQL, Python, Pandas, NumPy, Apache Spark, PySpark, Databricks, PyCharm, Anaconda, Git, Data Warehousing, Big Data, Business Intelligence, JIRA, SAS.

Confidential , Nablus, Palestine

Assistant Professor

  • Taught Management Information Systems courses covering data analysis, cloud computing and relational databases.
  • Served as a board member of the Project Management and Consulting Unit (PMCU).

Confidential, South Plainfield, NJ

Analyst / Programmer

Responsibilities:

  • Consulted for two multinational organizations: Confidential, Confidential . and Confidential .
  • Wrote PL/SQL code to create databases, tables, and views.

Environment: Data Analysis, Data Modeling, Data Warehousing, Oracle 10g/9i, MS SQL Server 2008, PL/SQL, SQL, Toad, SQL Server Management Studio, Erwin.

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