-High proficiency to operate in the advanced Big Data Environment & possess skills on Hadoop, Spark, Kafka, Hive, Scala, Pyspark, Apache, impala, noSQL, Hbase, HDFS, Pig, MapReduce, Yarn, Oozie, Pig,
-SAS Tools: Base SAS, SAS Enterprise Guide, SAS BI, SAS Visual Analytics, SAS Anti Money Laundering, SAS Web report Studio, SAS Information delivery portal, SAS Dashboard.
-Data science:Machine learning algorithms development in SAS, R, R charts, Data Analytics, Data mining.
-Data Warehousing & ETL Tools:Business Intelligence, SAS DI Studio, FACT & Dimensions tables, Physical & logical data modeling. SSIS, Data Stage, Business Objects / Informatica BDM /Discoverer 2000/ Oracle Express
-Database Languages: SAS, SQL, PL/SQL, SQL Plus, Hive, Impala.
-Translate and architect an external data-data driven solution (in conjunction with internal data, if needed) to achieve the desired outcome.
-Be responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems.
-Build knowledge base and disseminate information on applications of variety of analytical techniques.
Must Have Skills:
-Creative problem solving (Innovative),
-Self-starters with a curiosity and appetite for new technology,
-Client facing skills
-Excellent communication skills
oAbility to summarize the essence in speech & in written communication
oAbility to write Mutually exclusive & collectively exhaustive text
oAbility to connect with clients and Accenture team informally
oAbility to negotiate at a tactical level articulating pros and cons and recommending a mutually beneficial course of action
Ability to coach and mentor
Travel: Willingness to travel up to 50% of the time
Good to Have Skills:
1.Experience in visualization tools - Tableau, D3 is good to have.
2.Good to have knowledge on DMP
3.Experience in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing(NLP) and Cognitive Systems