Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
The Tiger Analytics team is looking for Senior Business Intelligence Lead plays a pivotal role in advancing the organization data-driven decision-making capabilities. This position is responsible for defining and championing best practices in the visual delivery of information through reporting and visualization, guiding and supporting report developers and power users, and leading the development of strategic reporting and visualization assets. The Senior Business Intelligence Lead will collaborate with corporate IT to define and deliver a robust technology platform that supports both ad-hoc and enterprise reporting.
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Requirements
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics is a boutique consulting company focusing on data analytics and predictive modeling in some of the high growth areas such as retail, social media, and online advertising. We are a strong team of data scientists and business consultants with in-depth knowledge and experience solving data related problems -- social media analytics, customer insights, customer analytics, forecasting, inventory and promotion planning, scheduling, pricing and revenue management. Through our understanding of businesses, coupled with expertise in advanced quantitative frameworks and state-of-the-art technologies, we help our clients take decisions in a scientific manner. Data Sciences: Econometrics, Bayesian Statistics, Optimization, Machine Learning, Artificial Intelligence, Natural Language Processing Select Methodologies: Linear/Nonlinear/Logistic Regressions, Time-Series models, Linear Programming, Latent Class methods, MCMC methods, Structural Equation models, Neural Networks, Support Vector Machines, Discrete Choice models, Hierarchical Bayes models etc. Tools / Technologies: R, SAS, MATLAB, SPSS, CPLEX, GAMS, Gauss, Python, C++, Java, PHP, MySQL, VBA, Tableau, Spotfire, and several other open source tools We are headquartered in Santa Clara, CA, with additional offices in Chicago, Illinois and Chennai, India.