Data Analyst

Data Analyst
ID : 1282
Education level  : Bachelor's degree
Work experience level  : Beginner- (internship- 1 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
Profile description

Transition from a career in testing to a full-time position in data analysis. Entry level data analytics professional; recently obtained Google Data Analytics professional certification. Excellent understanding and proficiency in data analysis platforms including SQL, Sheets, Excel, Tableau and R. Strong communication, organization and analytical skills.

Work experience In details :
Job position
Job description

Data Analyst - IGS India PVT LTD - (April 2021 - October 2022)

  • Cash is a mobile wallet used in the country Philippines that consists of applications such as G Invest, G-Credit, G-Save, G-Insure, etc.
  • Calculation of interest, minimum amount due and total amount due with respect to billing date using Excel.
  • Testing will be done from both back end and front end (on Web, Android and iOS platform), API Postman, SQL

Focus Market Risk - Union Bank of Philippines (UBP) - (May 2021 - January 2022)

  • Calculation of VaR (value at risk) 1Day/10Day for 99% & 95% confidence in spreadsheet
  • Calculation of stress, sensitivity testing in spreadsheet
  • Calculated instruments under portfolios FVTPL & FVOCI for Equity, Bonds, Swaps, Bond options, FX-Spot, futures, swaps, and options.
  • ETL testing will be done to perform the data validation from various sources such as Guava, Flat files & Bloomberg data in SQL.
Hard skills
  • Spreadsheets
  • SQL
  • Tableau
  • R Studio
  • Python
Soft skills
  • Statistics
  • Data Visualization
  • Strong analytical skills
  • Critical Thinking
  • Communication Skills
  • Google Data Analytics Specialization
    • Coursera
    • 2022
    • Completed extensive six-month job-ready Google Career Certificate training.
    • Demonstrated hands-on experience with data cleaning, data visualization, project management, interpreting and communicating data analytics findings.
    • Confidence in transforming complex data into actionable and clear insights.
    • Fluency in computer programming languages like R and a solid understanding of databases.
Special notes

Spreadsheets, SQL, Tableau, R Studio, Python, Statistics, Data Visualization, Strong analytical skills, Critical Thinking, Communication Skills

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