India Market Unit- RES- Data Engineering- Technology Consulting- 11 - #962191

Job description- Digital Data Analytics

Below is the brief job description along with the Group & Industry details for your reference:

Accenture Consulting transforms our clients’ businesses by using our deep industry knowledge to identify their issues, and then leveraging Accenture’s capabilities to deliver innovative, tailor-made solutions. Join Accenture Consulting and guide our clients—including more than 80% of the Fortune 500—as they transform their organizations to deliver services at the speed and scale the new digital world demands. You’ll use your deep industry knowledge to design and execute business solutions, and you’ll have the opportunity to integrate expertise from across Accenture—strategy, consulting, digital, technology and operations—as you bring your vision to life.

The current opportunity is the focusing on the Industries like CPG, Retail, Pharma, Auto, Industrial & Equipments.

Some of the links for your reference –

https://www.accenture.com/dk-en/about/consulting-index

https://www.accenture.com/in-en/careers/life-at-accenture/work-environment

https://www.accenture.com/in-en

Roles and Responsibilities/Accountabilities

Key Responsibilities:

• Work with Client account teams to provide subject matter expertise and solution support for important client proposals and RFP responses.

• Develop thought capital around Industry specific solutions

• Be responsible for delivering on various predictive and prescriptive analytics- based consulting assignment as part of one team focusing on the India Market.

Experience Required- Must Have

• Previous experience in client facing role.

• Overall upto 1-3 years of Analytics experience

• At least two years of project management experience in Analytics.

• Proven experience in having delivered actionable Analytics to businesses with measurable results on consistent basis

• Ability to structure, solution and sell Analytics engagements focusing on both the functional and technical aspects of business.

• Experience in extracting, aggregating, structuring large volumes of customer/Transaction level data is a must

• Strong understanding of various statistical techniques like, regression including logistic and OLS, clustering, optimization, Monte Carlo simulation, classification and forecasting techniques.

• Experience in machine learning techniques (neural net, SVM, association rules, random forest etc.) is a strong plus point.

• Experience in having used Social media data, unstructured data, text analytics would be an added advantage

• Strong skills using predictive modeling tools like SAS (Base, EG, E Miner others), R, Python, etc. Data Management skills using SQL, Hive, noSQL etc.

• 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, Rcharts, 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

• Exposure to working in globally distributed workforce environment including offshore model.

• Strong functional and analytic skills to identify potential business problems and translate business requirements into tactical analytical requirements

• Experience in resolving complex data issues in creative and effective ways. High self-motivation for success in a fast-paced, dynamic environment

• Able to solution architect with project teams and lead large delivery teams

• Strong people management skills both at client site and an offshore environment

• UX & UI Design - UX and IA design solutions

• Ability to summarize the essence in speech & in written communication

• Ability to write ‘Mutually exclusive & collectively exhaustive’ text

• Ability to connect with clients and Accenture team informally

Ability to negotiate at a tactical level articulating pros and cons and recommending a mutually beneficial course of action

Level

Industry Alignment

Experience / Skill

Count

Analyst

NA

- Data Science
- Data Visualization
- Machine Learning
- Data modeling and Architecture

3

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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