Behavioral and Data Analyst

Strategy& is a global strategy consulting business uniquely positioned to help deliver your best future: one that is built on differentiation from the inside out and tailored exactly to you. As part of PwC, every day we’re building the winning systems that are at the heart of growth. We combine our powerful foresight with this tangible know-how, technology, and scale to help you create a better, more transformative strategy from day one.

As the only at-scale strategy business that’s part of a global professional services network, we embed our strategy capabilities with frontline teams across PwC to show you where you need to go, the choices you’ll need to make to get there, and how to get it right.

The result is an authentic strategy process powerful enough to capture possibility, while pragmatic enough to ensure effective delivery. It’s the strategy that gets an organization through the changes of today and drives results that redefine tomorrow. It’s the strategy that turns vision into reality. It’s strategy, made real.

The Ideation Center is the think tank arm of Strategy that focuses on thought leadership and growth of a number of distinct functional capabilities, such as behavioral economics, evidence generation, foresight, and innovation as a service. Within this context, the Ideation Center is growing its behavioral science capacity to work on the application of behavioral insights into a variety of policy areas and for a number of projects and programs. We are looking for a Behavioral and Data Analyst who will support in implementing evidence-based research.

Responsibilities

• Apply mixed analytical and statistical methods, including quantitative, qualitative, and computational methods, to various projects and programs as needed
• Develop appropriate research questions, design research protocols, and conceptualize methodologies, such as data collection plans, analysis plans, and data interpretation
• Design research and evaluation protocols (e.g., experiment research design for Randomized Control Trials (RCTs), sample size, randomization, power calculation)
• Support in designing, validating, and deploying surveys that improve understanding of beliefs, attitudes, and behaviors
• Identify relevant data sources and sets to mine, and collect large structured and unstructured data sets and variables
• Design qualitative research protocols (e.g., conduct interviews, focus groups, or observations related to behavioral topics) and report on findings
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Implement predictive, statistical, and econometric modeling and analyses
• Code and analyze data and perform quantitative statistical data analyses
• Synthesize research findings and conclusions based on qualitative and quantitative research
• Develop data visualizations, experimenting with various technologies and tools for creating data-driven insights

Requirements

Qualifications:

• Master’s degree in economics, data science, behavioral science, psychology, social sciences, statistics, or any related field
• 4+ years relevant experience with evidence of research in psychology and/or cognitive science, survey design and analysis and other human data collection approaches, RCTs or experimental methods, and/or quantitative and qualitative analysis
• Experience using standard software packages to analyze and visualize quantitative data (e.g. SPSS, R, Stata, Tableau)
• Experience in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and their applications
• Experience in implementing various data visualization techniques
• Experience working with unstructured data, data mining, and testing
• Experience collecting original human subjects’ data in experimental and field settings
• Ability to effectively communicate research findings
• Demonstrated experience in scientific and technical writing

Skills:

• Excellent data analysis skills
• Excellent quantitative and analytical research skills
• Excellent written and verbal communication skills
• Fluency in English is a must, and competency in Arabic is strongly preferred