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ACN - Digital - Analytics - Customer Analytics - 09

Job Location: Gurugram

Job Number: 41455


- Job description

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

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

The Products Lifesciences Analytics team comprises professionals with diverse experience and backgrounds including statistics, engineering, economics and other quantitative disciplines. Employees are encouraged and expected to build their expertise as data scientists, and deploy analytics to business problems. We also provide access to an experienced group of professionals across disciplines, including Financial Services, Communication Media and Technology, Products -CPG/ Retail, Supply Chain & Operations. As a result, we are able to apply a multi-disciplinary approach to projects and formulate a more comprehensive and effective strategy.

Key Responsibilities:
The candidate will work closely with client facing teams along with the project manager and will be responsible for specific responsibilities in one or more of the following areas:

• Responsible for flawless delivery with quality and timelines in the space of BI, data and analytics
• Understanding of Pharma data sets – commercial, clinical, EMR (Electronic medical records)
• Analytics enablement (dash-boarding, tool development), Strong business acumen
• To actively engage in knowledge learning, sharing and storing. Steep learning curve and adapting to new client situations quickly and work under a competitive environment
• Excellent communication skills
• Ability to summarize the essence in speech & in written communication
• Ability to influence and lead others
• Adhere to the firm’s standards on ethics, code of conduct and values.

Must Have Skills:
• Hands on experience working on any of the data querying language SQl/PL SQL/Casandra/ Spark
• Hands on experience on any of the advanced analytics tools SAS/R
• Hands on experience on any of the data visualization tool tableau/ Spotfire/QlikView
• Good Database knowledge
• Should have either academic or hands on experience of advance analytics concepts involving statistical models like logistic regression, Cox proportional hazard model etc.
• Display command in at least one or more of these technological areas - Design & programming of databases / Business Intelligence and data visualization applications / ETL applications / Good DB skills – SQL / TSQL / Stored procedures.

Good to Have Skills:
• Displays steep learning curves for quickly grasping client’s business problems & the problem that they are trying to solve.
• Display strong analytical rigor & structured problem-solving skills.
• Very good Microsoft Office (Excel and power point) skills
• Good to Pharmaceutical industry experience
• Need to have worked with life sciences data sets (R&D, Commercial, real world)
• Experience in requirements gathering and design for BI/analytics.
• Creative problem solving and analytical skills.
• Should have business acumen, take initiative and be self-driven.
• Strong business and technical knowledge accountability.
• Engineering from reputed college or equivalent with strong work experience in life sciences and statistical analysis • Master’s degree in Business Administration from a reputed college or equivalent, • Statistics / Operations research masters from reputed college or equivalent.

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.

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