DATA SCIENTIST MANAGER - GMU AA

Job Purpose
GMU Advanced Analytics is a back-end support team to the global Ipsos research/account teams on statistical solutions includes both general statistics, such as significant test, correlation and special analytical tools developed by Ipsos (for which training will be provided) and other custom ad-hoc requests.

Following templates, analysts in the team will be required to take raw datasets and create bespoke and consistent core deliverables. The deliverables take the form of Tableau dashboards, online portal, Excel macro template etc. The role will require working closely with research teams across all regions.

Essential Responsibilities and deliverables 
•  Understand general statistics and Ipsos specialized analytical tools
•  Day-to-day project management (analytics stage) and client engagement
•  Receive raw datasets from data processing and/or research teams (Microsoft Excel / SPSS)
•  Manipulate data into correct format for analysis purposes using Tableau Prep, Microsoft Excel or SPSS
•  Prepare core deliverables in GMU format (Tableau dashboard, Microsoft Excel or etc.)

Working Relationships
Internal:
•  Healthcare research teams in all regions
•  Advanced Analytics team based in London, Germany, US, and Poland

External:
•  No external client contact

Qualifications
•  At least five years of experiences in marketing data analytics/data science or similar fields (Manager)
•  At least three years of experiences in marketing data analytics/data science or similar fields (Senior Data Scientist)
•  Degree in Data Science, Statistics/Mathematics, Business Analytics, Computer Science, Actuarial Science, Psychology, Social Science or related studies

Knowledge & Skills 
•  The following skills will be an added advantage but not mandatory – on the job training will be provided:
    -  Strong technical skills in data manipulation e.g. using Excel or software such as SPSS, Tableau Prep
    -  Strong general analytical skills using quantitative data
    -  Proficient in Excel and advanced formula
    -  Programming languages - Python or R for data analysis and data visualization
    -  Bonus: Experienced in AI, machine learning and deep learning 
•  Strong command of both written and spoken English
•  Couching and mentoring skills
•  Must enjoy working with colleagues across the globe
•  Ability to multitask
•  Good time management skills especially 
•  Good interpersonal skills
•  Good general PC skills

Measures of Performance 
•  Ability to work as a team.
•  Ability to meet deadlines.
•  Accountable – takes ownership of tasks assigned.
•  Ability to independently take dataset and deliver accurate and consistent output to research team.
•  Ability to solve day-to-day operational issues and demonstrates creativity in overcoming obstacles.
•  Able to make suggestions and offer solutions to aid process improvement.
•  Initiative to learn more research / analytical skills.
•  Initiative to go the extra mile in striving for internal client satisfaction.

Personal & Job Attributes / Capabilities
•  Resourceful, pro-active and results-oriented.
•  Positive attitude and professional.
•  A team player.
•  Committed.
•  Passionate about research.
•  Enjoy working with people across the globe.

Interested applicants, kindly email your resume to [email protected]
We seek your understanding that only shortlisted candidates would be notified.