11 Aug
|
Accenture in India
|
Gurugram
11 Aug
Accenture in India
Gurugram
Job Title - Organizational Analytics- Talent Analytics DS- Consultant - T&O-; (S&C; GN)
Management Level: 9 - Consultant
Location: Gurgaon, Mumbai, Bangalore
Must have skills: NLP OR Natural Language Processing, workforce OR People analytics & Data scientist
Positive to have skills: statistical methodologies
Job Summary:
Although no two days at Accenture are the same, as an Organizational Analytics (OA) Consultant in our Talent & Organization (T&O;) practice, a typical day might include.
Adopt a data-driven approach to Transformation and Workforce solutions for Global and Local clients.
Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution.
Roles & Responsibilities:
Experience in building data-driven survey-based solutions including frameworks, questionnaires, and action plans.
Linking analytics results with Behavioral Science/ Industrial and Organizational Psychology concepts.
Working knowledge of basic/advanced statistical and machine learning methodologies in the workforce analytics space.
Good to have practical knowledge in the areas of Natural Language Processing.
Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions.
Define data-backed people strategies to support business transformational programs.
Co-create solutions and assist clients in developing action plans.
Support Product Development and own the delivery of new OA products.
Build robust relationships with clients and foster business growth.
Contribute to T&O; practice-building efforts such as recruiting, training and attending community events.
Qualified & Technical Skills:
3 to 6 years of experience in business data analysis and Talent management-related programs (workforce transformation, talent strategy, HR strategy, organization & operating model design, and business readiness).
Data fluency and working knowledge of statistical methodologies.
Data interpretation with working knowledge
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