Opera Solutions is a global provider of advanced analytics software solutions that solve the persistent problem of scaling Big Data analytics. Signal Hub™, the company’s flagship technology platform, automates and simplifies end-to-end process of extracting insights (“signals”) from raw data and converting them to action and value.

Opera Solutions serves some of the world’s most respected businesses in the financial services, healthcare, travel, hospitality, retail, and telecommunications industries, as well as key government entities. The Signal Hub platform touches hundreds of millions of consumers across many leading companies, with a specific focus on dramatically increasing revenue from existing customers while introducing new capabilities that drive competitive advantage.  

The key innovation behind Signal Hub is its ability to deliver data science at scale.  The platform automatically creates Signals, which can be shared, reused, and applied to multiple use cases throughout the enterprise.  Machine learning technologies keep the Signals relevant, fresh, and accurate. This approach eliminates redundancies and the need to return to the raw data for each use case, resulting in a significant improvement in productivity.  In this way, Signal Hub’s proprietary technology enables enterprises to overcome what has become the primary obstacle to large-scale adoption of advanced analytics: solving the scalability challenge.

The Analytics Manager will design, develop and deploy state-of-the-art, data-driven predictive models using the latest and most advanced technologies in machine learning, statistical modeling and operation research. The Analytics Manager will deliver value through new product development, consulting engagements, and research initiatives.


  • Train and develop junior analytics staff.

  • Develop analytic solutions.

  • Analyze industrial-size data sets to determine suitability for model building.

  • Data clean-up and filtering.

  • Pattern identification and feature extraction.

  • Variable selection.

  • Experimentation with algorithms.

  • Performance analysis and preparation for communication with internal and external clients.

  • Work will require effective coordination of off-shore analytic resources, software development, clients, and business consultants.

  • Some travel required to client locations.


  • Advanced degree (MS/ PhD) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.)

  • Software skills: Experience in Perl, C, Python, C++, or Java

  • Deep knowledge of analytic methodologies and their applications in industry (regression, signal processing, optimization, neural networks, etc.)

  • Track record of analytical product development, innovation, or research (patents or publications)

  • 5+ years Industry Experience (eCommerce, Financial Services, Retail, Insurance, Airlines, Defense, etc.)

  • Experience managing offshore analytics teams

  • Strong UNIX background

  • Experience with statistics packages – SAS, R, Matlab

Email us to inquire or apply.