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ACN – Digital- Analytics – Human Capital Analytics - 09

Job Location: Bengaluru

Job Number: 37823

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- Job description

Accenture Digital
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 @AccentureDigital and visit www.accenture.com/digital.

Location: Gurgaon/Bangalore

Resourceful and motivated individual for the Human Capital Analytics team. This team leads the initiative to harness employee data in organizations in addressing strategic issues that materially impact our client’s business. An HCA Consultant will be exposed to the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, high variance and multiple objective functions. Requires being creative and resourceful and we will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining.

Analytics Capability – Human Capital Analytics / Corporate Functions Analytics – Consultant

Key Responsibility-
- Develop statistical models to support HR Analytics offerings and solutions.
- Hands on experience in Advanced R coding is a must.
- Develop statistical testing programs to measure and improve on-going performance of employee metrics.
- Apply appropriate techniques, such as exploratory data analysis, regression, bootstrapping, trees, cluster analysis, survival analysis, forecasting techniques and so on
- Partner with IT to implement models and tests
- Machine learning and text analytics exposure is desirable.
- Willingness to travel up to 100% of the time
Must Have:
- 3-5 years of general business experience, including 2 years min of quantitative analysis in a business setting, including building statistical models.
- MSc (or equivalent) in Mathematics, Statistics, Operations Research, Data Mining, Econometrics or related fields.
- Desire and ability to collaborate with business partners
Good to Have:
1 Three or more years of experience in industry in a functional role a plus
2 Advanced knowledge of SAS/R coding skills. Python coding and Tableau visualization skills are a bonus
Machine Learning and Text Analytics experience would be an added bonus.
MSc (or equivalent) in Mathematics, Statistics, Operations Research, Data Mining, Econometrics or related fields.

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 would like to be considered for employment opportunities with Accenture and need special assistance or reasonable accommodation due to a disability, please send us an email to careersandabilities@accenture.com.

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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