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Data Analyst

Job Category:

Banking

Job Level:

Professional

Open Date:

03-Dec-2019

Location:

TAGUIG CITY

Close date:

02-Jan-2020

Client Industry:

BANKING

Job Description and Qualification:

Overall function

Reporting to the Head of Customer Interactions and Analytics, the Data Analyst is a champion for Customer Insights in the Retail Business Line. As a Data Analyst you are not afraid of handling and analysing highly complex data. You are great at converting this data into relevant dashboards, reports and insights. By presenting these findings effectively you support stakeholders in important decision-making. As you will be operating in a complex stakeholder environment it’s important you can prioritise information and insight needs.

Key Responsibilities
  • You analyse complex data issues that go beyond squad and/or tribe boundaries, with a view to designing complete solutions.
  • Collect relevant data, analyse and report. You clean up and process raw data, correlate different types of data and are able to recognize patterns.
  • You interpret data, analyse results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality.
  • You work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions. This by e.g. data-mining activities, in-depth data analysis, validating by combining and interpreting data.
  • You support tribes and squads in their decision-making by describing and visualizing discovered insights and predictions and advise your business partners on data and insight analysis, commercial opportunities and market developments.
  • You continuously improve the way you work and you strive to work as a high-performing team.
Qualifications
  • Bachelors degree in BS Statistics, Mathematics, Computer Science, Business course or the like
  • At least 5 years experience in Data Analysis
  • Knowledge of querying tools such as MS SQL, Oracle, etc.
  • Experience with the following business intelligence and analytical tools such as Microsoft PowerBI, Cognos, Tableau
  • Experience with data mining tools like SAS/Python (nice to have)
  • Experience with data visualization, deriving of insights and presenting to the business.




Salary:

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