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Data Scientist_Data Analyst

Κωδικός Θέσης : DSDA_1117
Ημερομηνία ανάρτησης αγγελίας : 16/11/2017




Our client is a multinational financial institution, a leader in its sector. We are currently seeking an experienced Data Scientist_Data Analyst (ref.code: DSDA_1117) to support business growth.

 

The Role     

 

The Data Scientist_Data Analyst will use information and models to gain insight into business performance, support fact-based decisions, and communicate to the management areas for improvement. The holder of the role will play a vital role in helping understand trends and carry out deep dive analysis to identify drivers to improve company’s performance 

 

Responsibilities

 

  • Responsible for the daily/weekly/monthly production of  data reports and analyze the outcomes
  • Analyze data and facts, make forecasts and traces trends helping decision makers to adjust operations performance
  • Design and produce operation performance measurement models
  • Produces additional reports and analyzes of data where necessary
  • Designs and develops financial models for portfolio analysis and evaluation
  • Analyzes the financial data of new portfolios and develops prediction models for their performance.
  • Analyzes past results to identify points for improvement in operations strategies, process, and performance of employees
  • Interprets the data and analyzes the results using statistical techniques, generates all regular and extraordinary reports as required
  • Works closely with management team to determine project delivery priorities and
    needs
    Receives data from primary and secondary data sources and maintains DB
    Maintains, develops and improves the functionality of company DB

Qualifications

 

  • Bachelor’s Degree in Mathematics /Statistics 
  • Proficient with SPSS
  • Master Degree in Statistics will be considered as a plus
  • 3-4 years of relevant work experience with demonstrated expertise in using statistical data and statistics to analyze business performance, identify opportunities and solve problems.
  • Excellent verbal and written communication skills
  • Proficient with MS Office suite

 

Competencies

 

  • Strong follow-up skills
  • Ability to multi-task in a fast-paced environment and maintain strong attention to detail
  • Excellent time management and organizational skills, including the ability to prioritize work effectively
  • Ability to maintain a high level of confidentiality at all times

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