Associates will have the opportunity to leverage a wide variety of skills:
Process large-scale healthcare datasets using SAS, R, SQL, other database management tools Develop advanced statistical models that relate promotion and product sales Learn to build simulation models to assess the effects of sales and marketing programs based on different permutation / combinations Assist with preparation of data for conducting exploratory and predictive analytics (CART, ridge regression, SVM, etc.) Assist with creation of PowerPoint slides and online visualization (e.g. highcharts, Power BI,Qlik, etc.) to communicate simple analysis Advance analytics knowledge base and continuously learn new technologies in the analytics space This highly specialized team is responsible for designing and building a suite of data and financial products using a variety of software application packages including Microsoft Excel, Microsoft Power BI
Create/ edit analytical excel models/ reports using excels advanced formula, database and other available tools. Also, should be able to identify and independently troubleshoot errors in the existing and new reports
Identify opportunities for automation and implement solutions to increase efficiency/ effectiveness within the existing and new process
The position is expected to work at least 40 hours per week, and distribute work as per the tasks assigned. Heres an approximate breakout of time spent on different tasks:
Processing data and building integrated datasets for analysis: 50% Building advanced statistical models: 25% Preparing simple slides to communicate analysis results: 10% Advancing analytics knowledge and training: 15% Consulting is a fast-paced environment, and the candidate will be open to learning new skills quickly and deliver work under tight timelines. Associates needs to be flexible working on multiple projects at one time as needed. The position will be responsible for delivering high quality work under associate consultant or consultant supervision.
159 solutions seeks candidates with strong programming, database management, and statistics and mathematics background. companies welcome candidates with at least a bachelors degree in computer science, business analytics, engineering, or related quantitative disciplines
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