Personalization analyst

Job description

Accenture Digital offers a comprehensive portfolio of business and technology services across digital marketing, Interactive mobility and analytics to help our clients unleash the power of digital to drive growth and create new sources of value. No other company offers the same blend of insight, assets and industry expertise to help companies become digital businesses.Interactive, part of Accenture Digital, help our clients grow their business in entirely new and innovative ways. Personalization and customer insight as part of it enables our clients to achieve high performance through intelligence from customer data

What you’ll do?

As a Data Scientist in the Personalization-team, you will consult businesses in the area of customer analytics with the ultimate objective to enhance customer experiences and drive revenue growth. You’ll be supporting the transformation to a digital world and an improved life standard through personalized solutions by working on the full Data Science cycle:

· Understanding the business requirements, focusing on improving customer experience
· Managing large sets of referential and transactional data on standard or open data sources
· Applying statistical techniques to extract customer behavioral insights
· Constructing quantified actionable steps through the insights
· Communicating on the value of these insights to business
· Proposing predictive analytical solutions to address correct personalized communication with the customer

As part of our practice, you will join our personalization team in Dubai and join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications

Desired profile

Qualifications :

What are we looking for?

Proactive, focused and hardworking individuals to join our personalization practice at the analyst level with following key requirements

·  A Master’s degree in a study with a large quantitative component (e.g. Statistics, Mathematics, Physics, Computer Science, Engineering, Econometrics)
·  Preferably 1-2 years hands-on business experience in analytics projects across industry environments, having developed the ability to articulate strategic recommendations based on rigorous data analysis
·  Hands-on experience with the following software:
·  Statistics: R, SAS, Python
·  Data management: SQL, Hadoop
·  Business: Microsoft Office, preferable working knowledge of VBA
·  Understanding and usage of machine learning and big data
·  Hands-on experience with at least several of the following statistical techniques/ fields:
·  Segmentation, Propensity Modelling, Machine Learning, Time Series Modelling, Multivariate Analysis, Customer Lifetime Value, Pricing Analytics, Web Analytics
·  Excellent communication skills and an innovative mind
·  Ready to move to UAE(Dubai) and open to travel around the region for various projects