Data Science & Analytics Director (Ecommerce or Banking Exp)

Salt is currently representing one of our clients, who is looking to hire a Data Science & Analytics Director, based in Dubai, UAE.

Essential Functions

• Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional development
• Work with internal and external clients to understand their strategic business questions and lead project prioritization and design to answer those questions using data.
• Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, on an as-needed basis
• Ability to encourage the highest level of quality and thought leadership in reports & data analysis
• Guide team in the development of meaningful solutions and creation of work you’re doing that optimally communicates the findings and recommendations
• Develop unique global data assets in order to support other Data Science teams in answering critical questions for business teams.
• Measure effectiveness of utilization of data assets and for advising resources towards high potential data sources, knowledge, and technology assets.
• Use big data and cutting-edge data mining techniques, provide guidance on analytic techniques and business applications to unlock the value of our data set
• Led development of assets supporting scalable analytic approaches capable of being used by data scientists globally
• Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential
• Voice support for new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions
• Utilize Hadoop, and related query engines, such as Hive and Impala, to perform sophisticated data mining
• Research industry metrics and business context and bring this context to bear in analyses
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Direct the execution of medium to large analytic projects based on business requirements and desired business outcomes.
• Define detailed analytic scope and methodology, and create architecture plans for data assets.

Qualifications

Basic Qualifications

• 10 years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or at least 3 years of work experience with a PhD degree

Preferred Qualifications

• 12-15 years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other related functions
• Post Graduate degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Business Administration, etc.
• Experienced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
• Knowledge of big data engineering stack including Hadoop, Spark, Kafka and other related components
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferred
• Previous experience with a consulting firm delivering consulting services to financial services clients is a plus
• Proven experience in planning, organizing, and leading multiple multi-functional projects with diverse cross-functional partners
• Good discernment to orient data analysis to the business needs of clients
• Eloquent communicator able to translate data and technical concepts for a business audience
• Demonstrated ability to innovate solutions that tackle business problems
• Strong business acumen with proven ability to solve business problems through industry-leading engineering methodologies.
• Experience in ecommerce, payment, retail banking, or retail merchant industries is preferred
• Team-oriented, collaborative, respectful, and flexible style, with the ability to tailor results to varied audiences
• Detailed orientation is expected to ensure the highest level of quality in planning and roadmap development for deliverables
• Proven track record in translating analytics output to significant recommendations, and delivery
• Experience in communicating ideas and analysis to a technical audience
• Exhibit intellectual curiosity and strive to continually learn

If you believe you match these values, we look forward to meeting you!

Salt is acting as an Employment Agency in relation to this vacancy.