GN- T&O- I&I ( Talent Analytics )-Analyst

Job Description

Job Title - Organizational Analytics- Talent Analytics DS- Analyst - T&O- (S&C GN)

Management Level: 11 – Analyst

Location: Gurgaon, Mumbai, Bangalore

Must have skills: NLP OR Natural Language Processing, workforce OR People analytics & Data scientist

Good to have skills: statistical methodologies

Experience: Minimum 1-3 year(s) of experience is required

Educational Qualification: Any Bachelors or Master’s Full time.

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 strong relationships with clients and foster business growth.
• Contribute to T&O practice-building efforts such as recruiting, training and attending community events.

Professional & Technical Skills:

• 1 to 3 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 of analytic (predictive and prescriptive) models and digital tools.
• Fluency in English is required, additional language capabilities are highly advantageous.
• Ability to perform in a non-structured and dynamic environment.

Additional Information:

• Natural leader; easily establishes relationships with clients and colleagues.
• Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world.
• Determined; appreciates a challenge and overcoming obstacles to achieve results.
• Digitally savvy; continuous learner.
• A transparent career path designed for rapid career progression.
• A supportive culture that is serious about training, coaching and continuous learning.
• A global network where only state-of-the-art tools and technologies will do.
• A bighearted environment with opportunities to give back to our local communities.

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