Financial
- Salary unspecified
- Zero income tax location
Accessibility
- Hybrid
Requirements
- Experience: Intermediate
- English: Fluent
- Arabic: Preferred
Position
- Qualifications:
- 4+ years of experience in data science or analytics consulting role
- Able to understand the business requirements, focusing on improving customer experience
- Managing large sets of referential and transactional data on standard or open data sources
- Apply statistical techniques to extract customer insights
- Construct quantified actionable steps through the insights
- Ideate hypotheses and test them using statistical techniques
- Concisely communicate the value of the most important insights to business
- Synthesize complex information and results into actionable insights through a concrete data-driven approach
- Lead insight-driven campaign generation, from ideation to implementation
- Exposure to DS Models and understanding ML use case generation
- Able to define product-centric customer journeys through an omnichannel marketing strategy
- Comfortable writing queries in SQL, working with data on Excel
- R/Python are a plus and tools (PowerPoint and Excel is a must, Tableau/PowerBI are a plus)
- Highly driven self-starters with an entrepreneurial mindset who can communicate complex ideas in a clear and effective manner to colleagues and the client
- Excellent organizational skills; Have the ability to prioritize workload whilst being resilient and being able to cope well under pressure and meeting tight deadlines
- Establish trust-based relationships with clients to better serve their organizations
- Hands-on business experience in marketing analytics projects across industry environments, having developed the ability to articulate strategic recommendations based on data analysis
- Hands-on experience with the following software:
- Statistics: R, SAS, Python
- Data management: SQL, Hadoop
- Business: Microsoft Office
- Digital Analytics: Google Analytics/Firebase or Adobe Analytics
- 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 (Google Analytics/Adobe Analytics)
- Excellent communication skills and an innovative mind
- Strategic thinker, ability to deep dive into data & come up with Insights
- Experience with DWH Solutions like BigQuery, Azure SQL Databases, etc
- Experience in client-facing work, enjoy working with clients to build stakeholder relationships
- Excellent organizational skills; Have the ability to prioritize workload whilst being resilient and being able to cope well under pressure and meeting tight deadlines
- Strong grasp of English. Proficiency in Arabic would be a plus
- The ability and willingness to travel
- Equal Employment Opportunity Statement: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.
About Accenture
Accenture is a global professional services company that helps businesses, governments, and organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. With a talent and innovation-led approach, Accenture serves clients in over 120 countries, delivering tangible outcomes through a broad range of services and solutions.
Benefits at Accenture
- Innovation Culture
- Global Reach
- Professional Growth