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ACN - Digital - Analytics - FS Analytics - 9

Job Location: Bengaluru

Job Number: 38179

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- Job description

Accenture Digital, comprised of Accenture Analytics, Accenture Interactive and Accenture Mobility, offers a comprehensive portfolio of business and technology services across digital marketing, mobility and analytics. From developing digital strategies to implementing digital technologies and running digital processes on their behalf, Accenture Digital helps clients leverage connected and mobile devices; extract insights from data using analytics; and enrich end-customer experiences and interactions, delivering tangible results from the virtual world and driving growth. To learn more about Accenture Digital, follow us @AccentureDigi and visit www.accenture.com/digital.

Accenture Analytics, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. Accenture Analytics applies sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes – to improve their performance and disrupt their markets. With deep industry and technical experience, Accenture Analytics provides services and solutions that include, but are not limited to: analytics-as-a-service through the Accenture Insights Platform, continuous intelligent security, machine learning, and IoT Analytics. For more information, follow us @ISpeakAnalytics and visit www.accenture.com/analytics.

Key Responsibilities:

• Advise clients on a wide range of issues across varied banking and/or insurance functions – Marketing, Pricing, Account Management, Collections, Operations
• Work with clients to gather business requirements from multiple sources i.e. product managers, development teams, and functional group members. Leverage functional and analytical expertise to design a solution to address on-going problems.
• Be responsible for generating actionable recommendations well-supported by quantitative analysis to help our banking clients address their ongoing problems
• Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization
• Build knowledge base and disseminate information on applications of variety of analytical techniques across varied banking functions
Qualifications
Masters degree in Technology / computers / statistics / mathematics / business disciplines from reputed institutions such as IIT, NIT, BITS, IISc, DSE, MSE

Must Have Skills:
• Masters degree in Technology / computers / statistics / mathematics / business disciplines from reputed institutions such as IIT, NIT, BITS, IISc, DSE, MSE
• Minimum 5 years’ experience (business / consulting domain) in data analytics, model building using machine learning, data mining, reporting and data driven insights
• Minimum 2 years’ experience and good knowledge in Python / Spark and associated libraries like PySpark, Pandas, Numpy, Beautifulsoup
• Experience in big data technologies / framework (Hadoop/SPARK)
• Project management skills with ability to distill complex issues into structured frameworks for solving complex business problems
• Experience of people management and handling teams is a plus
• Strong analytics skills and detail oriented mindset
• Strong verbal and written communication skills with client/leadership handling experience
• Mandatory Tool: Python, SPARK
Good To Have Skills:
• Experience in Financial Services market including retail banking, insurance, mortgages, wealth management
• Hands-on experience in analytical tools like R, SAS (Base, EG, EMiner)
• Knowledge of big data technologies like any of Hive, PIG, HBase, Kafka, Elastic Search, Impala, Kerberos, Sentry, Knox
• Experience in BI Visualization tools like Tableau, D3, QlikView, Power BI, Plotly, etc.
• Experience in Digital Marketing and Campaign execution. Operational hands-on experience in working with DMP/DSPs (highly preferred)
• Strong experience in parsing unstructured data text/html/xhtml/xml/pdf
• Experience with Big Data ETL, streaming, setting up multi-tenant data lakes is a plus
• Experience with agile development, automated testing, and continuous integration
• Understanding of complex data flows, identification of data processing bottlenecks and designing and implementing solutions
• Masters degree in Technology / computers / statistics / mathematics / business disciplines from reputed institutions such as IIT, NIT, BITS, IISc, DSE, MSE

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

If you require any support for your disability related queries or any disability related assistance for you to be considered for opportunities with Accenture, please send us an email to careersandabilities@accenture.com.
Please note: If you do not require any such support, you would need to directly apply to open positions posted on our careers page.

Accenture has not authorized any agency, company or individual to either collect money or arrive on any monetary arrangement in exchange for a job at Accenture. Accenture's criterion for hiring candidates is merit. Any agency, company or individual offering employment with Accenture in exchange for money is misrepresenting their relationship with Accenture, which has not authorized any such action. If you are approached by any entity or individuals who demand money or any other form of compensation in return for a job offer at Accenture – even if they present themselves as representatives or employees of Accenture – please send the details to Accenture Business Ethics Line.

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