Interacts with business leaders to understand business strategy, conditions and problem areas
Contributes to business strategy and influences decision making based on information gained from deep dive analysis
Produces actionable & compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets Partners with both internal & external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights Designs, develops and programs methods, processes and systems to consolidate and analyze unstructured data to generate actionable insights and solutions Develops and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Constructs predictive models, algorithms and probablity engines; verifies model and algorithm effectiveness based on actual results
Develops and applies advanced techniques and theories to deliver actionable business insights to prospects and customers based on large-scale data
Works independently with internal and external teams Leads end-to-end steps involved in model development in alignment with established core subject-matter expertise in key horizontal or vertical themes
Leads the design/testing of new analytical technologies, or the development of new algorithms/functions for application in model-development
Leads the development and testing of algorithms/functions to address core subject-matter requirements and customer engagements
Delivers results and presentations in a timely manner and handles projects with a long term focus
Leads definition of analytics vision, multiple use-case evaluations and selection criteria, as well as project-level scope definition
Serve as subject-matter analytics expert in presentations to customers and larger audiences
Collaborate with inside sales teams to educate prospects and customers on analytics offerings while leading pre-sales discussions by presenting on analytics service offering and technology stack while establishing customer rapport
Typically requires 12+ years of related experience in a professional role with a Bachelor's degree; or 8+ years with a Master's degree; or 5+ years with a PhD; or equivalent experience
Appropriate mathematical knowledge Advanced statistical analysis skills
Advanced knowledge of job associated programming languages
Advanced Macro, C, C++, Visual Basic Programming
Advanced understanding of business environment and industry trends
Advanced communication and problem solving skills Strives for professional development
Ability to work in a team environment Customer focused
Advanced technical aptitude
Possesses Advanced product/technology/industry knowledge
Understanding of products and their value added to the customer
Advanced leadership Skills Advanced mentoring/coaching skills
1. Knowledge on Cloudera
2. Data modeling experience with R/Python
3. 10-12 years relevant experience in data analytics
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