Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.
SAS Analytics Consultant:
Position: Support Engineer
Must Have Technical Skills: Azure Data Factory
Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls
Preferred Industry Experience: Manufacturing
Role:
Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.
Troubleshoot issues, provide workaround, determine root cause, upon failures.
Desired Qualification:
· 0-3 years of DE or batch support experience.
· Must be willing to work completely in the night shift.
· Ability to work on a task independently or with minimal supervision.
· Knowledge of Data Orchestration Tool, preferably ADF.
· Knowledge of sql or hive, python, pyspark, hdfs or adls.
· Work location: Remotely.
Nos of Resources required: 1 to 2
Work location: Remote
Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background
Experience: 0-3 Years
Mobilization Period in weeks: 1 week
Duration: 6 to 12 months
Visualization expert:
· Resources having 3-5 years of experience creating user interfaces using Power BI and R-Shiny
· Have basic Analytics concepts like Predictive modelling, Optimization and Simulation
· Knowledge of Python would be desirable
· Knowledge of Trade Promotion Optimization would be plus
· Excellent written and verbal communication.
· Good organizational skills.
· Ability to work as part of a team.
Experience:
Job location:
Duration:
Joining:
We are looking at augmenting our team with an ML Engineer. We are a retail house and need an ML Engineer to train for our upcoming e commerce venture.