An Manager in Applied intelligence - 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 or Python or Spark
Support monitor and manage all aspects of daily activities with
Working through the phases of project
Define data requirements for creating a model and understand the business problem
Clean aggregate analyze interpret data and carry out quality analysis of it
Set up data for predictive or prescriptive analysis
Development of AI or ML models or statistical or 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
Educational Background or qualifications
B Tech or M Tech from reputed engineering colleges
Masters or M Tech in Computer Science
Master degree in Statistics or Econometrics or Economics from reputed institute
M.Phil or Ph.D in Statistics or Econometrics or related field.
Responsible for taking up day-to-day activities for making deliverables to the Client
Duties and Responsibilities:
Act as a Data Scientist for data handling extraction manipulation; creating structured form of data and pulling tangible insights from data
Take inputs from the Manger or Consultant to develop statistical models .predictive modeling forecasting etc.. and apply appropriate techniques such as Exploratory Analysis Regression Segmentation etc.
Prepare summary of results for in-house discussion and take feedback whenever or wherever required
Develop executive dashboards to present the analytical insights derived from the data analysis
Proficiency and Experience:
8 years of experience in Analytics Industry
Strong ability to extract strategic insights from large data set
Adept with using Statistical .like forecasting or modeling data analysis regression or optimization models. Machine Learning .GBM Decision Trees etc.
Proficient in data handling suites PYTHON Spark R HIVE SAS SQL or similar packages
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
Strong aptitude ability motivation and interest in placing quantitative analysis in the context of marketing and business economics.
Adept with knowledge andamp; working on Visualization tools like Tableau POWER BI etc.
Good to have- Exposure to and understanding of cloud platforms like AWS Azure GCP
Functional Skills- Experience in Retail Industry People management role and Sales
Business Development initiatives
Strong problem soling skills
Good team player
Attention to details
Good communication skills