Role Overview:
- We are looking for an Analytics Manager for our operations group, who will establish and implement actionable Business Outcomes (ABOs) for predictive and prescriptive analytics use cases.
- Work closely with the Product and delivery teams to foster a client centric culture and cohesive teaming environment.
- Work closely with operations, software and Analytics group in identifying & establishing best practices for specific solutions.
Responsibilities:
- Analytics Managers (AMs) design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modeling and Operations Research.
- They deliver value in the marketplace by supporting teams serving clients; spearheading the analytics/technology component of new product development; and/or leading key research initiatives.
- AMs' responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.
- Work will require effective coordination of global analytics and software development resources, clients, and business consultants. Some travel may be required to client locations.
- Work closely with Analytics team within Operation group and liaison with them to understand & enhancing the current solutions implemented in production.
Skill Requirements:
The role of an AM is a critical one at Opera; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects. Essential requirements include:
- Degree (B.E./B.Tech/M.Tech/MS/PhD) in a quantitative field (i.e., Statistics, Computer Science, Machine Learning, Physics, Econometrics, etc.) with 8+ years of relevant experience
- Software skills: Experience in SAS, R, Python
- Deep knowledge of analytic methodologies (regression, signal processing, optimization, neural networks, etc.)
- Track record of analytical product development, innovation, or research (patents or publications)
- Relevant industry experience (eCommerce, Financial Services, Retail, Airlines, Defense, etc.)
- In addition, we prefer that candidates have experience in managing global analytics teams in multiple locations, a strong UNIX background, and experience with statistics packages/SAS
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