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

SAS Data Quality Consultant:

• Data Quality developer will be responsible for analyzing and understanding data sources and end-user requirements using the SAS DQ.
• Must be aware of Data Quality dimensions and their implementation in SAS DQ tool.
• No of Position-2
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

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.

Position: PySpark Developer

Must Have Technical Skills: PySpark

Good to have Technical Skills: Spark, DWH

·         Hand on experience in Pyspark and Numpy, List, Pandas, Graph plotter.

·         Excellent knowledge of Python framework and Airflow/Luigi/Dagster/Apache Beam.

·         Python skills with all sorts of data libraries, visualization libraries,

·         Good SQL knowledge.

·         Ability to perform multiple task in continually changing environment.

·         Exposure on Hive/HBase/Redis.

·         Good knowledge of Data warehousing.

·         Reading from Parquet and other format.

·         Worked on Hive and HBase.

Nos of Resources required: 3 to 4

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

·Conduct analysis to address critical business challenges faced by client teams working in different markets across the banking value chain to recommend the best data and insights powered solutions

· Gathering business requirements to create high level business solution framework covering aspects of banking customer journey, policy & regulatory requirements, data driven business process design & Technology Architecture

·Interface with client teams along with inputs from internal research and data insights teams to develop solutions for identified opportunities across banking LOBs

·Build analytical use cases in AI and Machine Learning across different banking functions including Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience

· Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same

· You should have worked for 4-6+ years in the area of Knowledge Strategy and Consulting, Analytics and AI Delivery and Business Operations in any of the Tier-1 consulting organizations (McKinsey, BCG etc.) with focus and experience in Banking industry

·Experience in at least some banking function like Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience

·Experience in at least some areas of banking domain like Cards/Payments/Retail or Commercial Banking/Digital/Mortgages or Regulatory/Data Privacy/Asset Management/CDD/KYC/AML or Contact Center/Branch Banking along with knowledge of various banking products is required

·Have experience in building analytics models in atleast 1 or more banking function for cross-sell up-sell models, churn models, forecasting models, fraud detection models, AML models, default prediction models, risk pricing models etc.

·Hands on experience in building and deployment of Statistical Models/Machine Learning using following techniques – Statistical Algorithms (at least some of them)
a. Segmentation and Predictive Modeling (K means, Clustering, Multivariate Regression, Logistic Regression)
b. ML algorithms –RF, GBM / XgBoost, SVM
c. NLP algos – TFIDF, Word2vec, LDA
d. Exploratory Analytics (T-tests)
e. Decision Trees

·Experience with some databases preferred like Oracle, TD, Sybase, MS SQL, Win SQL, S3 buckets

·Experience and exposure to developing cloud solutions on AWS/GCP/Azure

·Good experience with Data, Analytics and AI technologies & tools – data native mindset with a deep understanding of Statistics and experience in A/B or multivariate experiment set-up, sharing testing results & recommendations

·Ability of Visual story-telling with BI & Visualization Tools (Tableau/Spotfire/Power BI, Cognos, Business Objects) is preferred

·Advanced Excel including VBA and PowerPoint skills

·Consulting skills Experience preferred

·Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people

·You are laser focused on delivering outcomes with speed and agility

·You are self-driven and thrive in ambiguity

·MA/MBA/MSc/MPhil.  in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad

 Experience:

• 4 to 6 years

Job location:

• Bangalore

Duration:

• 3 months. May get extended.

Joining:

• immediate