VP or SVP of Advanced Analytics

About NRG

NRG is a leading global insights and strategy firm at the confluence of content, culture, and technology.  We stay ahead of what’s next, providing fresh insights to spark new ideas. We’re a trusted partner to our clients, working behind the scenes to bring imagination, depth, and clarity to their biggest challenges—in entertainment, technology, lifestyle, sports, and gaming.  Together, we create with confidence. 

 

We’re proud of our company’s values – these values guide us as we navigate sunny days, gray skies and everything in between:    

 

• Do what you love. With conviction. 

• Where discovery lives. And impact drives. 

• Celebrate difference. Cultivate belonging. 

• Big thinking. Collectively inspired. 

• Embrace the journey. Be human. 

The Opportunity

We are looking for a VP/SVP of Advanced Analytics to join NRG to shape and execute our company’s analytics vision.  This role will report directly to our C-level leadership team, and will be responsible for leading, championing and participating in client facing pitches, discussions and proposals related to statistical methodologies, advanced analytical techniques and data science rigor. This is a strategic, client-facing leadership position that requires strong business acumen, exceptional technical expertise, and a deep understanding of the market research industry.  If you are passionate about championing a forward-looking approach to analytics, pushing the boundaries of research methodologies and integrating emerging technologies to enhance data-driven insights, this is the role for you.   

Your Impact

• Client Engagement & Solution Design 

• Serve as the analytical and methodological expert in collaborating with clients and NRG research teams to understand their business challenges, objectives, and data needs, translating them into tailored analytics solutions with rigor and sophistication.  

• Lead and defend recommendation on selecting the relevant advanced analytical techniques and approaches which include but not limited to: sampling methods, market sizing, predictive modeling, segmentation, discrete choice modeling, Bayesian network analysis, SEM, etc. 

• Oversee the design and communication of sampling strategies, questionnaire/data inputs, weighting/data treatments and implementation of advanced analytical approaches with special consideration for a global context.  

• Serve as the subject matter expert on data integration with well established knowledge of survey data formats, client side first party data and third party data sources related to transactions, behavioral data.  

• Drive the interpretation of analytical results and ensure actionability in close collaboration with clients and NRG research teams.   

• Translate complex methodological concepts into accessible language for clients and stakeholders. 

• Collaborate with clients to understand their research needs and recommend appropriate methodological approaches. 

• Strategic Leadership & Vision 

• Develop and implement a comprehensive analytics strategy aligned with the company’s overall business objectives and in the context of rising influences of AI. 

• Identify and integrate innovative analytical methodologies, machine learning models, and data science techniques to advance the firm’s offerings. 

• Act as a thought leader and subject matter expert, influencing the company’s market positioning and industry recognition in advanced analytics. 

• Innovation & Capability Development 

• Stay abreast of industry trends, emerging technologies, and best practices in data science, artificial intelligence, and quantitative research methods. 

• Evaluate, select, and implement cutting-edge tools and platforms to enhance analytics capabilities and improve efficiency. 

• Quality Control & Methodological Rigor 

• Establish standardized processes, frameworks, and quality controls to ensure analytical outputs meet the highest standards of methodological rigor, reliability, and relevance. 

• Cross-Functional Collaboration 

• Partner with internal teams—such as product development, research operations, client services, and marketing—to align analytics initiatives with overall company goals. 

• Team Management & Development 

• Mentor and guide a multidisciplinary team of analytics professionals, fostering a culture of collaboration, creativit