Position: CDM - DS
YOUR ROLE: Analytics Capability - Customer Analytics - CDM - Manager
Digital analytics Manager is responsible to help the clients with analytics solution. He/she should be strong in analytics fundamentals and should have good hands on experience working with the following:
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
Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL
Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more.
Strong people management skills- work with other team members and make deliberate efforts to keep others up to date. Delegate and guide the team members towards the completion of the tasks/ project.
Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track and solve client issues.
MSc/MPhil. in Statistics/Economics/Mathematics / Engineering Degree from Top Colleges in India or Abroad.
Must Have Skills:
8-10 years of experience in analytics teams solving problems for top global companies.
Minimum 2 years of Google Cloud Platform (GCP) or any other cloud-based platform experience
Hands on experience in build and deployment of Statistical Models/Machine Learning using following techniques - Statistical Algorithms
oSupervised Learning: Linear regression, Binary Classification Model (Logistic, Random Forest, XGBoost, SVM etc.)
oUnsupervised Learning: Segmentation (Cluster Analysis), Recommender System etc.
oDeep Learning: ANN, RNN, LSTM etc.
oExperience in structured and unstructured data
Strong Python, SQL skills. Experience with SQL preferred (In traditional DBs such as Oracle, TD, MS SQL)
Excellent written and oral communication skills with ability to clearly communicate i