Accenture ACN - Digital - Analytics – Health Analytics - 7 in Bengaluru, India

Accenture Digital, comprised of Accenture Applied Intelligence, Accenture Interactive and Accenture Industry X.O, 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 Applied Intelligence, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. Accenture Applied Intelligence 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 Applied Intelligence 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 https://www.accenture.com/us-en/applied-intelligence-index

This position requires a strong thought leader who can drive business decisions and issue resolution through collaboration. Proven ability to deliver results is a must. Individual must be able to effectively manage cross-functional partners that are internal and external to Accenture and Accenture’s Clients. Ideal candidate will have to demonstrate excellent project management skills, strong communication with the ability to present findings to multiple levels. Experienced in managing and/or delivering capabilities and/or knowledge of SDLC in data management and systems configuration is a plus. The candidate should have some people management experience.

Key Responsibilities:

• Develop methodologies to support project execution for Health Analytics clients

•Ability to solution any analytics project in Healthcare domain

•Manage a team of analytics resources to ensure that deliverables are met with quality and in a timely fashion

•Engage with middle / senior level clients (VPs) effectively in a dialogue

•Develop and articulate strategic recommendations based on rigorous data analysis

•Partner with client teams to understand business problems and marketing strategies

•Deliver analytics projects in the health and public services areas

Knowledge and Skill Requirements:

• Strong ability to extract strategic insights from large data sets

•Should have done forecasting/modeling, data analysis, used regression/optimization models and techniques.

•Machine learning skills are required

•Should have good analytics experience and consulting experience/basic understanding of business problems and suggesting solutions

•Good communication skills

•Open to extensive travel (3-6 months at a stretch)

•Non-KPO project experience would be an added advantage

Must have Skills:

• Proficient in SAS, R, Python or similar technologies

• Advanced Excel and PowerPoint skills

• Strong SQL Skills

• Ability to understand various RDBMS and the capability to extract data as needed.

Good to have skills:

• Demonstrate a proven practice of project management discipline; project management skills a plus;

• Ability to derive insight from large amounts of data from diverse sources

• Ability to work on multiple projects and set priorities.

• Good Understanding of healthcare market (prior experience working on US based Health projects will be a plus), OR Educational qualification(s) in Medical and experience with analytics.

Professional Development Skills: Project Dependent

Educational Qualifications:

BE from good Engineering colleges or Masters degree in Statistics/Econometrics or Quantitative sciences or B. Statistics/Econometrics + MBA