Data Science Analyst...

Digital ksp; India; Sur place; INR 1 500 000 - 2 100 000; Plein temps

Résumé du poste

Accenture seeks a data‑driven analyst for its HR Analytics team. You will support global projects, applying data science methodologies, and transforming business needs into analytic solutions.

The role emphasizes cross‑functional collaboration, strategy, and delivery of analytics assets across geographies. Ideal candidates possess expertise in statistics, ML, advanced Excel, R, Python, and cloud platforms, with strong communication skills to translate insights into actionable decisions for HR

Qualifications

• Knowledge of statistical techniques and machine learning algorithms.
• Advanced Excel and analytical skills.
• Knowledge of analysis tools and platforms like R, Python, Google Cloud.
• PowerPoint skills.
• Advanced communication (written and oral) and strong interpersonal skills.
• Ability to work cross-culturally.

Responsabilités

• Partner with stakeholders and other team members to apply critical thinking and the latest data science methodologies in a consultative way to solve analytic challenges.
• Develop and manage analytic solution vision, strategy, roadmap, plan for the assigned area.
• Oversee development and delivery of data science projects, products and assets.
• Research and develop assets and other work products to test analytic hypotheses.
• Translate business issues into specific requirements to develop analytic solutions and identify data to support the solution.

Connaissances

Statistical techniques & ML

Advanced Excel

Analytical skills

R

Python

Google Cloud

PowerPoint

Cross-cultural collaboration

Communication skills

Outils

R

Python

Google Cloud

Description du poste

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 514,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

You will be a part of the Human Resources Shared Services (HRSS) team that supports lateral recruitment of Accenture s Operations entity. It comprises of skilled analytics, reporting, solution architecture, product owner, development, data science, and change management/training professionals around the world whose mission is to provide Accenture business and HR leaders with strategic and operational analytics and insights to enable data-led decision making. We offer a variety of vibrant and challenging career paths within our team, each with a different set of skills and area of focusOur Data Science & Advanced Analytics people are highly specialized experts in the most robust methodologies and advanced techniques in the people analytics space. Working on highly complex and often unstructured projects, they find ways to make what we thought was impossible, possible.You will work on Data Mining and help in the process of finding correlations or patterns among dozens of fields in large relational databases. You will analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.

What are we looking for?

Knowledge of statistical techniques and machine learning algorithms2. Advanced Excel & Analytical skills3. Knowledge of analysis tools and platforms like R, Python, Google Cloud4. PowerPoint skills5. Advanced communication (written and oral) and strong interpersonal skills6. Ability to work cross-culturally

HR Analytics Roles and Responsibilities: The role serves as a core member of advanced analytics team responsible for supporting global projects across Accenture HR.The responsibilities involve but not limited to the following.1. Partner with stakeholders and other members of the team to apply critical thinking and the latest data science methodologies in a consultative way to solve our most complex analytic challenges.

Develop and manage any or all the following in support of data science activities in the assigned area(s)/portfolio(s): analytic solution vision, strategy, roadmap, plan.Oversee, as required, the development and delivery of data science projects, products, and assets.

As needed, research and develop assets and other work products to test and prove or disprove analytic hypotheses and address challenges.

Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution

Updates, offers, and more straight to your inbox!