Roles and Responsibilities
A Manager/Senior manager in Applied intelligence - Marketing Analytics understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.
Duties and Responsibilities:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using R/Python/Spark
Develop a clear understanding of client s business issue to inform the best approach to the problem.
Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project
Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
Support, monitor and manage all aspects of daily activities with
Working through the phases of project
oDefine data requirements for creating a model and understand the business problem
oClean, aggregate, analyze, interpret data and carry out quality analysis of it
oSet up data for predictive/prescriptive analysis
oDevelopment of AI/ML models or statistical/econometric models.
Working along with the team members
Looking for insight and creating a presentation to demonstrate these insights
Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects
B Tech/M Tech from reputed engineering colleges
Masters/M Tech in Computer Science
Master degree in Statistics/Econometrics/ Economics from reputed institute
M.Phil/Ph.D in Statistics/Econometrics or related field.
8 years of work experience in consulting/analytics with reputed organization is desirable.
Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Spark etc.
Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc.
Proficient in Excel, MS word, Powerpoint, etc.
Strong problem soling skills
Good team player
Attention to details
Good communication skills