SAS Analytics Consultant: 

• Identifies trends, patterns, and critical business insights using SAS
• Analytical Model Development like-Predictive Modelling /Logistics Regression/ Linear Regression/ Forecasting Modelling/ Time Series Etc.
• Manage all data for specific modules of analytical projects
• Contribute to building the analytical construct directed towards solving the business problem
• Work with the business team to specify analysis tasks to generate insights
• Design and execute the analysis tasks
• No of postion-2
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

Power BI and Reporting:

1) Proficient in Building the PowerBI dashboards, SSAS Cubes and Data warehouse solutions, using Microsoft BI tools and with industry best practices.

2) Understand and deliver the business scenarios for improvement on the BI platform from a clients perspective

3) Manage interaction and expectation of client considering all the aspects of building long term sustainable solution

4) Can create amazing dashboard designs, SSAS models, data models on the database, suggest ETL data flow and collectively support team for developments

5) Should manage the onsite and offshore assignments

6) Good knowledge of data warehouse modeling

7) Report and support to management for day to day activities and deliveries

8) Maker-Checker approach to follow in the development

Experience:

• 2 to 3 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

Machine Learning Programmers:

Responsibilities

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Requirements

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Experience:

• 2 to 3 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

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  

Position:  SAP Technical Consultant

Must have Technical Skills : SAP XI/PI/PO, ABAP programing

Good to have Technical Skills : SAP User exits (BADIs / BAPIs) ,EDI Technologies, ABAP Proxy, BAP/RFC/IDOC/ Web Services/ IDOC enhancements, SAP AIF and Webmethods

Good to have Industry Experience: Manufacturing & supply chain planning projects Experience

Preferred Project Experience: 2 Full life cycle implementation in SAP PI/PO and 2 full life cycle implementations in ABAP (At least one in S4 HANA)

Role & Responsibilities:

·         Define Integration Strategy and design principles for ERP Integration landscape

·         Responsible for the Technical delivery of the new interfaces and overall quality

·         Demonstrate extensive experience operating as a SAP PI/PO Integration Consultant

·         Provide evidence of at least 2 full life cycle implementations in ABAP (At least one in S4 HANA) and 2 full life cycle implementation in SAP PI/PO.

·         Extensive Integration architecture experience in SAP XI/PI/PO, full life cycle implementation in SAP XI/PI/PO (7.31 onwards)

·         Extensive knowledge in ABAP developments around various processes/functionalities with knowledge in the area of SD/MM/SCM/PP

·         Excellent programming skill and well versed with S4 coding standard/methods

·         Must have extensive experience of working in various SAP specific integration technologies (ABAP Proxy, BAP/RFC/IDOC/ Web Services/ IDOC enhancements)

·         In - depth knowledge in SAP User exits (BADIs / BAPIs) and ABAP programing , as well as ALE , EDI technologies

·         Experience in Enhancement Framework, Object Oriented programming within SAP

·         Any experience on SAP AIF and Webmethods would be added advantage

Nos of Resources required: 1 to 2

Work location: Mumbai/Bangalore

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 4 yrs - 6 yrs

Mobilization Period in weeks: 3 to 4

Duration: 3-4 quarters.

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.