works directly as the business service partner for managing the needs of clients, specifically, but not limited to discussions with the clients’ technical teams (ie.
Data analytics, business intelligence teams, IT experts)Coordinates Cobena internal resources and third parties / vendors for the flawless, timely and on-
managing changes to the project scope, project schedule, and project costs using appropriate verification techniquesCreates and maintains comprehensive project documentationDevelops be-
spoke algorithms tailored to answer the specific problem statementEmploys sophisticated analytics programs, machine learning and statistical methods as to prepare data for use in predictive and prescriptive modelingExplores and examines data from a variety of angles to determine hidden weaknesses, trends and / or opportunitiesDevises data-
provides further iteration to ensure that constructed models provide best fit to the business situationBuild high-performance algorithms, prototypes, predictive models and proof of concepts as well as creates programs to automate processesCollaborate with data architects, modelers and IT team members on project goalsProposes the data infrastructure (systems design, database requirements) required to solve the business problemCommunicate predictions and findings to management through effective data visualizations and reportsPuts together a detailed development plan for the data analysts / scientists and mentors them to help them develop technical and managerial skillsParticipates in the day to day executive management decision making, representing the Chief Analytics officer when the same is unable to attend leadership team meetingsIn charge of developing a team of analysts to help them achieve their maximum potentialAny additional responsibilities that may be assigned from time to timeBS (and ideally Masters) in Mathematics, Statistics, Computer Science or EngineeringWith background, experience in database management / data analytics preferred (minimum 5 yearsTechnical Skills (Analytics and Computer Science)Analytics -
Understanding what data to collect, how to analyze it and detect patterns and links.Computer Science - Automating new, break-
out algorithmic processes to drive business changes.Knowledge of the following preferred : SAS and / or R In-depth knowledge of at least one of the analytical tools available.
Python Coding Knowledge of coding languages such as Python, Java, Perl or C / C++SQL Database / Coding - able to write and execute complex queries in SQLTableau / Cognos / QlikviewUnstructured data able to work with unstructured data such as social media, video / audio feeds, etc.
Statistics - Seeking innovative insights by correlating data in new ways. (preferred but not required)Non-Technical SkillsCreativity -
and how these are utilized for effective decision making and performance managementBusiness Strategy - Understanding the business objectives, hurdles, competition, goals and futures : getting from point A to B.