Evalueserve - Senior Business Associate - Analytics/Modeling/Regression/SAS/R/Python

Job description : 

- Job requires the person to work in a dynamic environment for various clients across marketing & supply chain problems. The person will be responsible for solve complex data-intensive business problems by leveraging specialized tools and techniques for data analysis and modeling.

- Gathering and understanding the business requirement from the clients and designing/suggesting relevant analysis to meet the business requirement.

- Carrying analysis using client's database with the help of statistical tools like Python and presenting the analysis in Excel (Pivots, Graphs), powerpoint (presentation) or dashboards after adding relevant business insights

- Improve existing delivery processes and lead automation where applicable

- Providing thought leadership and technical advice on statistical and methodological frameworks to the team/project managers/clients.

- Engage Business Partners to ensure analytic solutions are appropriate to existing business processes and level of readiness

Desired Skills : 

We are looking for candidates who have demonstrated both client servicing and advanced analytics skills.

- At least 6 months of experience in the field of Data Analytics with direct client service exposure (served clients in a consultant, or team leader capacity)

- Strong Analytics domain knowledge with spike in at least one Analytics area (statistical modeling, operations research, big data, digital analytics)

- Statistical programming software experience in Python, or equivalent, and knowledge of analytics tools

- Exposure to advanced analytics & machine learning methodologies such as Regression (Linear, Logistic, etc.),Cluster Analysis, CART/CHAID, Bayesian models, Time Series analysis, etc.

- Coding/development abilities (VBA, SQL etc.) will be an asset

- Knowledge of visualization platforms like Tableau, spotfire, etc would be an add on.

- Strong verbal and written communication and presentation skills

- Good understanding of economic, financial, and general business concepts and terminologies

- Superior problem-solving, analytical and quantitative skills

- Entrepreneurial mindset coupled with - can do- attitude

- Demonstrated ability to collaborate with cross-functional, cross-border teams and coach/mentor colleagues

Education and experience : 

- Graduate/ Post-graduate in Statistics/Economics/Mathematics/Computer Science/Engineering from a reputed university